Sage Journals: Discover world-class research

Abstract

The popularity of Mukbang has become a global trend, thus understanding why people watch Mukbang videos can shed light on cultural shifts and consumerism. Therefore, the purpose of this study is to identify the motivation factors that impact Mukbang consumption using the extended Uses and Gratifications (U&G) Theory, with immersion as a moderator. Quantitative research through the online questionnaire was distributed using purposive sampling with 269 valid responses. The results of structural equation modeling revealed that Compensation, Information Seeking, Media Appeal, and Social Presence had a positive and significant impact on Mukbang consumption. However, Enjoyment, Escapism, and Social Interaction were not significantly related. In addition, the moderating role of Immersion was only established between Media Appeal and Mukbang content consumption. The study contributed to the U&G Theory by expanding the new motivation determinants (e.g., Media Appeal, Compensation, Social Presence) and the inclusion of Immersion which is unique in a single framework in emerging markets. The study provided insight to Mukbang content creators and food brand marketers to understand the motivations of the viewers consuming Mukbang content. The findings can help the creators and marketers curate and tailor their content to better engage with the audiences, potentially grow their channels, and improve branding.

Keywords

uses and gratifications theory Mukbang consumption immersion media psychology

Introduction

In recent years, the media industry has undergone a profound transformation with the advent of new media (Yin, 2023), which has reshaped how content is produced, distributed, and consumed. The rise of digital platforms and the proliferation of user-generated content have democratized the media landscape, empowering individuals to create and share content on a global scale (N. Çınar, 2020). This shift has led to the emergence of diverse media genres and formats, catering to the evolving tastes and preferences of media users worldwide.

One phenomenon that has captured the attention of audiences globally is Mukbang, a unique genre of broadcasted eating shows that originated in South Korea (Anjani et al., 2020). The term “Mukbang” is derived from the combination of the Korean words “meok-neun” (eating) and “bang-song” (broadcast) (E. K. Kang et al., 2020). Mukbang first gained popularity in the late 2000s (Yoon, 2023) as a form of online entertainment where hosts, known as “broadcast jockeys” or BJs, consume large quantities of food while interacting with their viewers in their live streams. This interactive and visually stimulating format quickly resonated with audiences, leading to its rapid spread across various digital platforms.

Mukbang’s origins can be traced back to South Korea’s burgeoning online culture, where it emerged as a response to the increasing number of people eating alone (Harris, 2023). The concept offered a sense of companionship and a virtual dining experience, making it particularly appealing to individuals seeking social connections (Fong & Chang, 2024). Over time, Mukbang has evolved beyond its initial premise, incorporating elements of Autonomous Sensory Meridian Response (ASMR), cooking tutorials, and food reviews, further expanding its appeal (Sultana & Das, 2022).

In Malaysia, Mukbang has gained significant traction, with local content creators and viewers embracing the trend (Durai, 2019). The motivations behind Mukbang content consumption in Malaysia are multifaceted, reflecting a blend of cultural influences, social dynamics, and individual preferences (Nur Hasliza, 2022). As Mukbang culture directly reflects societal trends related to food and digital media, understanding why people watch Mukbang videos can shed light on cultural shifts and consumerism.

In recent years, the phenomenon of Mukbang-watching has gained significant popularity among viewers, especially on YouTube (Yoon, 2023). The popularity of this trend raises questions about the underlying factors that motivate viewers to watch Mukbang content. The surge in Mukbang content consumption reflects that users enjoy the interesting content of Mukbang and also seek information related to food and beverages (Song et al., 2023). Considering that millions of views have been recorded on social media platforms such as YouTube, the provision of more mukbang-related information may become a trend in the future (Song et al., 2023). Thus, it indicates the need for systematic research on users’ information behavior and mukbang content. Besides, prior literature demonstrates that escapism can increase the Mukbang-watching behavior of university students, which suggests that viewers tend to engage in such online activity if they perceive that they can successfully escape from their unfavorable reality (Kircaburun et al., 2023). Therefore, based on the literature, the present research seeks to examine the association between escapism as a motive and Mukbang consumption.

Past studies have discussed motivations influencing Mukbang-watching, however, they are focusing on audiences in South Korea (S. Stein & Yeo, 2021), India (Sanskriti et al., 2023), China (Wang, 2020), and Western countries (Ngqangashe et al., 2022). To the best of our knowledge, there is little academic research that touches on motivations influencing Mukbang content consumption among viewers in the Malaysian context. Our research identified only some recent studies on the topic of Mukbang in the Malaysian context, for instance, Tan (2023) mentioned the topic of Mukbang, however, the study focuses more on factors influencing Korean product purchasing behavior among Malaysian youths. On the contrary, other papers that have discussed the motivating factors of Mukbang-watching among viewers (Fong & Chang, 2024; Jenging, & Mohamad, 2022), did not provide an in-depth explanation of the topic.

Although previous studies have utilized U&G theory to assess the motivation to watch various media content, including Mukbang (Jiang et al., 2024; Song et al., 2023), however, the findings were inconsistent. For instance, the study found that social interaction/participation and information seeking were not significantly related to satisfaction (Jin et al., 2023). In addition, Kircaburun et al. (2023) argued that compensation is the determinant that forms the Mukbang watching motives. Besides, social presence (social gratifications) and media appeal (technological gratifications) could be potential motives to expand U&G (Gan & Li, 2018) in the continued usage of WeChat. tom Dieck et al. (2024) study found that immersion (sensual gratifications) is the motive to influence the satisfaction of augmented reality (AR). Based on the arguments above, it urged the authors to include these motives to expand the original U&G in a single framework that is unique. The immersion, despite its role, has been explored in distinct contexts, such as virtual reality, Artificial Intelligence, and live video commerce (Guerra-Tamez, 2023; C. Liu et al., 2024). However, there is a scarcity of investigations looking into its moderating effects across distinct extents in the domain of the Mukbang context consumption (Pavlič et al., 2025). This research void limits the understanding of how immersion in the Mukbang context interacts with influences on content consumption.

In addition, previous studies have mainly applied immersion from the AR technology perspective, and it has usually been applied as an exogenous variable (tom Dieck et al., 2024; Vo et al., 2022). However, there are also arguments that immersion could be a potential moderator (Zha et al., 2018), which has urged the researcher to test it as a potential moderator, where it has been less discussed in the scholarship.

Therefore, by addressing these gaps, the research will contribute to the broader field of media studies and offer practical implications for Malaysian content creators and marketers seeking to enhance their engagement strategies. It is also important to note that most studies have not captured the use of UGT on Mukbang and its theoretical application for the better conceptualization of viewers’ motivations toward Mukbang-watching (Song, 2021).

Hence, the present paper aims to test the UGT rigorously to better visualize how various forms of motivation (namely enjoyment, escapism, information seeking, social interaction, social presence, media appeal, and compensation) can impact Mukbang content consumption, with immersion as the moderator which leads to the research question as below:

RQ: Does immersion act as the moderator between motives of watching Mukbang (e.g., enjoyment, escapism, information seeking, social interaction, social presence, media appeal compensation) and Mukbang content consumption?

Literature Review

Theoretical Foundations

The UGT theory has been acknowledged as an effective theoretical framework that depicts social media consumption in the Mukbang context (Alifu et al., 2025; Kircaburun et al., 2022; Minh et al., 2024). The UGT posits that individuals seek out media based on their psychosocial needs, making the media choice an active process (Katz et al., 1973). Katz et al. (1973) divided the needs into five major categories which consist of cognitive, affective, personal integrative, social integrative, and tension release needs (Glo, 2023). According to G. Li et al. (2022), UGT provides a good reference for identifying the motivators of Mukbang videos to fulfill these needs. In the context of Mukbang content consumption, UGT is used to classify and better understand various types of gratifications—enjoyment (hedonic), information seeking (utilitarian), social interaction, and vicarious experiences.

Past studies have applied UGT to various forms of media and content consumption. For instance, UGT has been used to understand how “Liking” behavior on Facebook influences users’ intentions to continue using the platform (Hossain et al., 2019), adolescents consume food media such as cooking shows and food blogs (Ngqangashe et al., 2022; Xiao et al., 2024), users engage with live streaming platforms (Camilleri & Falzon, 2020), social media use impact individual’s social and well-being (Bhatiasevi, 2024; Chan et al., 2022). Applying the UGT model in the context of Mukbang-watching enables us to explain why individuals engage in social media activities such as watching Mukbang videos. Within the domain of food blogging, the researchers have emphasized the importance of predictive factors, such as information seeking, social interaction, and enjoyment, and their effects in driving social media behavior (Nguyen et al., 2024). Based on the above-described view, this research deems the UGT framework as a robust underpinning ground, looking into the consumption of Mukbang content.

In the present research, the UGT model conceptualizes how varying forms of gratification (e.g., enjoyment, escapism, information seeking, social interaction, social presence, media appeal, and compensation) motivate audiences to interact with Mukbang content (Song, 2021). By examining these drivers in the Malaysian context, this research seeks to pinpoint prominent motivators for local viewers, investigate their perceptions of watching Mukbang, and assess the relationship between these motivators and Mukbang consumption.

Hypothesis Development

Enjoyment refers to the pleasure and satisfaction viewers get from engaging content. Different viewers seek out various types of content based on what brings them the most pleasure and satisfaction (Kircaburun, Harris, et al., 2020). For instance, some viewers may prefer to watch live Mukbang streams where they can interact with the host in real-time. This interaction allows them to make requests, such as asking the host to eat specific foods or try certain eating styles first (Y. Li & Guo, 2021), which enhances their enjoyment and satisfaction through a sense of participation and immediacy.

Meanwhile, other viewers may be drawn to Mukbang videos that focus solely on the sensory aspects of eating (Wan Kamal et al., 2022) such as videos that feature hosts who do not show their faces or speak, allowing the focus to remain on the sounds of eating, such as crunching and slurping. This type of content, commonly known as ASMR (Mahady et al., 2023), appeals to those who find the sensory experience of eating sounds particularly gratifying, triggering a relaxing or stimulating response among viewers (Sultana et al., 2022). Thus, the below hypothesis is postulated:

H1: Enjoyment has a positive impact on Mukbang content consumption.

Escapism refers to the viewer’s innate urge to divert themselves from reality’s trouble through absorbing and captivating material (Halfmann & Reinecke, 2021). Kircaburun, Savci, et al. (2020) found that escapism is a significant motivation for consuming Mukbang videos, allowing viewers to temporarily escape from boredom or minor stress. This correlates with studies by (C. Y. Chen & Chang, 2019; Jouhki et al., 2020) which proved that media users generally turn to media as a cognitive divergent tactic to get away from daily hassles. One’s tendency to escape from life problems through media may eventually lead to excessive binge-watching behavior (Chan et al., 2022; Gabbiadini et al., 2021), which indicates that viewers who are motivated by escapism tend to watch multiple Mukbang content in one sitting (Kircaburun et al., 2022) more often. Thus, the study assumed that:

H2: Escapism has a positive impact on Mukbang content consumption.

Information-seeking is a crucial motivator for consuming Mukbang content where viewers actively engage with videos to learn about the various foods, cooking techniques, and culinary cultures. This aligns with the UGT which suggests that individuals use media based on different needs including the need to obtain information (Kircaburun et al., 2021). Firstly, learning about new dishes and getting to know different cultures through food is one reason people watch Mukbang (Kircaburun et al., 2022). This is supported by Giertz et al. (2022) who contend that the live stream content allows for real-time information sharing, making Mukbang videos an ideal platform for viewers to search for and acquire food-related knowledge (Lee & Wan, 2023). A study by Basaran and Sunnetcioglu (2021) reported on Turkish individuals who consume Japanese media content, specifically anime, showing interest in Japanese cuisine. This exposure offers viewers new knowledge and insight into different cultures. Additionally, viewers are motivated to watch Mukbang because of their desire to seek information related to food recipes and food ingredients (Kim et al., 2022; Ngqangashe et al., 2022). Thus, the study hypothesized that:

H3: Information-seeking has a positive impact on Mukbang content consumption.

Social interaction refers to how individuals engage and communicate with others in a social setting. Mukbang videos offer a space for viewers to engage with creators and other viewers, fostering a shared viewing experience (Styawan & Buwana, 2023), and strengthening community spirit among Mukbang, a requisite for societal connectivity (Kircaburun et al., 2021). Hossain et al. (2019) pointed out in their study that social media engagement through activities like liking and commenting on posts helps in gratifying users’ socio-psychological needs which can intensify their intention. Overall, social interaction plays a vital role in enhancing the appeal of Mukbang videos. The combination of live interaction, community development, and a sense of companionship generates a deeply immersive and socially satisfying watching experience. This communal element not only draws in viewers but also retains their interest. Thus, this study hypothesized that:

H4: Social interaction has a positive impact on Mukbang content consumption.

Social presence is another significant motivator for Mukbang content consumption which refers to the feeling of being socially connected and having a sense of presence with others in a virtual environment, alleviating feelings of isolation (Gutman et al., 2022). Sharing video content on social media platforms allows individuals to impress others, express themselves, and communicate a desired image (Hjetland et al., 2022). Additionally, by participating in discussions and leaving comments on videos and live streams, viewers actively reinforce their presence in the virtual community (You et al., 2023). Real-time interaction cultivates a sense of belonging and allows individuals to communicate their thoughts and preferences (M. Wang & Li, 2020). This perception contributes to their social presence and identity within their social groups, further encouraging viewers’ retention (G. Li et al., 2022). Thus, this study assumed that:

H5: Social presence has a positive impact on Mukbang content consumption.

Anjani et al. (2020) suggested that media appeal in Mukbang videos encompasses several elements, including visual aspects of the food, the creator’s attractiveness and eating style, and the interactive format of the broadcasts such as live stream which allows for instant interaction between viewers and creators. High-quality visuals and engaging audio are critical components that enhance the overall attractiveness of Mukbang videos and capture viewers’ interest (Styawan & Buwana, 2023). Spence et al. (2022) also found that the vibrant and detailed presentation of food, often featuring close-up shots and high-resolution images, makes the content visually appealing and stimulates viewers’ appetites. These factors contribute to the appeal of Mukbang content, and in turn viewer engagement and satisfaction fueling continued media consumption (Stein & Yeo, 2021). Thus, the study postulated that:

H6: Media appeal has positive effects on Mukbang content consumption.

Compensation in media consumption refers to the utilization of media by consumers as an alternative for unsatisfied desires or needs in their actual lives. This understanding is illustrated based on various contexts where individuals turn to the media to fulfill psychological or emotional needs (Xi et al., 2022). Mukbang-watching can bring satisfaction (Kircaburun et al., 2023), specifically when viewers watch Mukbang creators eat food on screen, compensating for their hunger or food cravings, also known as “vicarious eating” (E. K. Kang et al., 2020; Yoon, 2023), whereby individuals satisfy their cravings for food by watching others consume large quantities of food they want to eat.

For instance, individuals on strict diets or those with health issues that limit their food intake may use Mukbang videos as a form of compensation. This statement is also supported by the Kircaburun, Yurdagül, et al. (2020) study which highlights that viewers with dietary restrictions often report feeling less deprived when they watch Mukbang videos, as it helps them manage their cravings in a controlled manner. Thus, the study hypothesized that:

H7: Compensation has a positive impact on Mukbang content consumption.

Yan et al. (2023) examined the role of immersion in short video consumption behavior and found that immersion can influence reuse intention and recommendation. Besides, X. Liu et al. (2023) also find that immersion can mediate between media exposure, perceived severity, and behavioral intention. This aligned with the study that immersive experiences by social media streaming applications highly impact the user’s dependency on the applications (Xu & Tayyab, 2021). In the same vein, on checking the AR applications, it is found that immersive experiences impact attitude and intention to adopt the app significantly (Vo et al., 2022) and also improve engagement and learning styles (tom Dieck et al., 2024). As addressed by Mou et al. (2024), the immersive effects of Virtual Reality can offer social value to users through games and entertainment, thereby promoting their imagination. Such enhancement of their pleasure feelings can improve the user experience. Besides, Jiang et al. (2024) found that immersing in watching Mukbang content can help to satisfy the individual crafting for foods, whereas vicarious gratifications (compensation) through the visual and audio simulation can strengthen the Mukbang ASMR consumption. Zha et al. (2018) found that immersion positively moderates the information quality and informational fit-to-task in the social media literature. Similarly, Tsou and Putra (2023), also found that enjoyment of the gamification attribute impacts customer engagement and brand love, and immersion as the moderator to strengthen those variables. This has been supported by the study of Kiszka et al. (2024), where the immersion moderated between gaming time and its disorders and prominently for male samples. Based on the above discussion, it is postulated that:

H8: Immersion moderates the relationship between the U&G motives: (a) enjoyment, (b) escapism, (c) information seeking, (d) social interaction, (e) social presence, (f) media appeal, (g) compensation and Mukbang content consumption, where immersion strengthen the impact of U&G motives on Mukbang content consumption.

Figure 1 illustrates the conceptual framework of this study.

Figure 1.

Proposed conceptual framework.

Methodology

Research Design

This study employed a quantitative research design in the form of an online questionnaire. Quantitative research involves a systematic investigation of a phenomenon through the gathering of numerical data and the utilization of statistical or computational tools and techniques (Pandey et al., 2023). Furthermore, quantitative research aims to quantify the data and generalize findings from a sample of a study from varied perspectives (Ghanad, 2023).

Sampling Procedure

A purposive sampling method was used for this study. Purposive sampling is a non-probability sampling method in which researchers choose respondents based on specific criteria, ensuring that the sample is relevant to the study and able to fulfill the research objectives (Makwana et al., 2023). Hence, the research only focuses on participants who are familiar with and watch Mukbang content by incorporating a screening question, that is, “Have you watched Mukbang videos before?” Researchers utilized G*power analysis to identify the suitable sample size. G*Power is recommended to identify sample size and power calculations for various statistical methods (H. Kang, 2021; Memon et al., 2020). After inputting the necessary data, G*Power 3.1.9.2 software indicated that the minimum sample size for the current study is 166 (effect size: 0.15; power: 0.90; number of predictors: 14). The current study has 269 valid responses which is sufficient.

Measurement

The questionnaire consists of four (4) main sections which are Section A, B, C, and D. Section A consists of respondents’ demographic profiles such as gender, age, education level, ethnicity, and screening questions. Sections B and C include items for the variables. Items for enjoyment were adapted from (Anjani et al., 2020; Kircaburun et al., 2023; Song, 2021). Escapism items were adapted from (Anjani et al., 2020; Kircaburun et al., 2023), information-seeking items were modified from (Anjani et al., 2020; Kim et al., 2022; Song, 2021), social interaction items were adapted from Ajani et al. (2020). Items for media appeal were adapted from (Anjani et al., 2020; Song, 2021; Stein & Yeo, 2021), compensation items were adapted from (Kim et al., 2022; Kircaburun et al., 2023), and social presence items were modified from Botha et al. (2016) and the immersion items were modified from the Hamari et al. (2016). Section D includes items for the Mukbang content consumption that were modified from Styawan and Buwana (2023). The survey items for Sections B, C, and D, are designed as statements measured on a five-point Likert-type scale where 1 represents Strongly Disagree and 5 indicates Strongly Agree. To ensure the reliability and validity of the responses, five (5) social desirability questions are included in the survey. This method helps to control social desirability bias as respondents may provide answers based on what they believe to be socially acceptable instead of based on their actual opinion (Andersen & Mayerl, 2019; Bernardi & Nash, 2022).

Data Collection Procedure

An online Google Forms questionnaire was distributed through various digital platforms including WhatsApp and Instagram, this can be explained that survey research-based social media platforms can improve the efficiency of the data collection (Ibrahim et al., 2019), cost-effective, quicker response, and able to reach wider target samples as compared to the offline survey (Gunter et al., 2002). Participants were conveniently approached and invited to participate voluntarily. Moreover, the use of online surveys can guarantee personal data privacy and confidentiality, and this was indicated on the cover page of the form.

Data Analysis and Statistical Procedure

Partial Least Squares Structural Equation Modeling (PLS-SEM) is a variance-based multivariate statistical analysis used to investigate the complex relationships between variables, particularly in social sciences research (Hair & Alamer, 2022). As suggested by Tian et al. (2024), PLS-SEM is appropriate for addressing complex research models and predictive-orientations associations between exogenous and endogenous variables. Thus, this study framework has nine constructs and has a moderator, which justified PLS-SEM as appropriate to examine the complex framework. Through a PLS-SEM analytical approach, the measurement model and structural model were assessed.

Results

Based on Table 1, the majority (74.7%) were female respondents. Besides, more than half of the respondents were between 21 and 25 years old (62.1%), which indicates the respondents are mostly young adults. About education, the majority have earned a bachelor’s degree (69.5%), which shows that they are educated and able to make wise decisions. For the daily time spent, more than half of the respondents rarely watched Mukbang videos (54.3%).

Table 1.

Profile of Respondents (N = 269).

Variable(s)	Category	Frequency	Percent
Gender	Male	68	25.3
Gender	Female	201	74.7
Age (years old)	<20	42	15.6
	21–25	167	62.1
	26–30	6	2.2
	31–35	6	2.2
	>35	48	17.8
Education	High school	20	7.4
	STPM/Diploma/Foundation	54	20.1
	Bachelor’s degree	187	69.5
	Postgraduate’s degree	6	2.2
	Professional certificate	2	0.7
Ethnicity	Malay	202	75.1
	Chinese	22	8.2
	Indian	17	6.3
	Others	28	10.4
Daily time spent watching Mukbang videos	Rarely watch Mukbang	146	54.3
	Between 1 and 60 min (1 hr)	106	39.4
	Between 121 and 80 min (2 hr and above)	13	4.8
	Between 181 and 240 min (3 hr and above)	4	1.5

Common Method Variance

Common Method Variance (CMV) is the same source bias that may arise using self-report measures from a similar sample in the survey method (Jordan & Troth, 2020). Hence, to test the CMV, the researchers used a full collinearity assessment. The cut-off value for the variance inflation factor (VIF) is that it should be less than 5 as suggested by Kock (2015). All variables met this criterion, indicating that there is no same source bias in this study (see Table 2).

Table 2.

Full Collinearity Assessment.

Variables	Marker (VIF)
Comp	2.182
ENJ	2.176
ESC	2.199
IS	1.988
Imm	3.647
MA	2.116
MCC	3.037
SI	2.314
SP	2.834

Assessment of Measurement Model

Hair et al. (2021) and Henseler et al. (2009) highlighted that reliability can be measured using factor loadings and composite reliability (CR). As shown in Table 3, the loading of all items is more than 0.708 as suggested by Hair et al. (2019). All Cronbach’s alpha values surpassed the cut-off value of .7 (Hair et al., 2021). Discriminant validity was carried out to test the validity of constructs. Hair et al. (2021) highlighted that the CR should exceed .70, while the Average Variance Extracted (AVE) should be more than 0.50. Thus, the convergent validity is confirmed (see Table 3).

Table 3.

Convergent Validity.

Variables	Items	Cronbach’s α	Loadings	CR	AVE
Compensation	Comp1	0.884	.921	.941	0.76
	Comp2	0.893
	Comp3	0.838
	Comp4	0.813
	Comp5	0.927
Enjoyment	ENJ1	0.928	.837	.901	0.753
	ENJ2	0.894
	ENJ3	0.774
Escapism	ESC1	0.777	.807	.887	0.724
	ESC2	0.866
	ESC3	0.904
Information seeking	IS1	0.837	.816	.876	0.638
	IS2	0.796
	IS3	0.762
	IS4	0.799
Immersion	Imm1	0.824	.885	.921	0.744
	Imm2	0.869
	Imm3	0.905
	Imm4	0.852
Media appeal	MA1	0.797	.729	.847	0.649
	MA2	0.817
	MA3	0.802
Mukbang content consumption	MCC1	0.905	.940	.957	0.849
	MCC2	0.949
	MCC3	0.930
	MCC4	0.900
Social interaction	SI1	0.803	.816	.891	0.731
	SI2	0.880
	SI3	0.881
Social presence	SP1	0.893	.940	.957	0.847
	SP2	0.935
	SP3	0.929
	SP4	0.923

Heterotrait-Monotrait Ratio of Correlations (HTMT) was used to examine the discriminant validity (Henseler et al., 2015). Based on Kline (2015), the value of HTMT should not be more than 0.85. As demonstrated in Table 4, all HTMT values did not surpass 0.85 which ascertained the discriminant validity. The researchers used the variance inflation factor (VIF) to detect the collinearity issue, Hair et al. (2019) mentioned that the VIF value should not be more than 5. Thus, there is no severe collinearity issue.

Table 4.

Discriminant Validity Using HTMT Ratio.

Variables	Comp	ENJ	ESC	IS	Imm	MA	MCC	SI
Comp
ENJ	0.673
ESC	0.602	0.643
IS	0.495	0.690	0.671
Imm	0.692	0.542	0.675	0.613
MA	0.587	0.552	0.774	0.648	0.734
MCC	0.632	0.588	0.670	0.580	0.822	0.743
SI	0.464	0.391	0.662	0.604	0.690	0.712	0.476
SP	0.361	0.237	0.601	0.404	0.747	0.676	0.598	0.760

Assessment of Structural Model

Bootstrapping with 5,000 resamples (Preacher & Hayes, 2008) was used to test the structural model. The results depicted in Table 5 show that Information Seeking (β = .091, t-value = 1.831, p < .05), Social Presence (β = .109, t-value = 1.730, p < .05), Media Appeal (β = .233, t-value = 3.662, p < .05) and Compensation (β = .153, t-value = 2.539, p < .05) have a positive and significant impact on the Mukbang content consumption. Thus, H3, H5, H6, and H7 are retained. However, enjoyment, escapism, and social interaction were not significant motives for Mukbang content consumption, thus rejecting H1, H2, and H4.

Table 5.

Direct Effects.

Paths	Std. β	Std. error	T	p	LLCI (5%)	ULCI (95%)	D	r ²	f ²	VIF
H1: ENJ -> MCC	.081	0.061	1.320	.093	−0.026	0.175	NS	.702	0.009	2.414
H2: ESC -> MCC	.080	0.057	1.414	.079	−0.010	0.176	NS		0.010	2.224
H3: IS -> MCC	.091	0.050	1.831*	.034	0.003	0.168	S		0.012	2.330
H4: SI -> MCC	−.258	0.061	4.229	.000	−0.357	-0.158	NS		0.093	2.403
H5: SP -> MCC	.109	0.063	1.730*	.042	0.009	0.217	S		0.010	3.906
H6: MA -> MCC	.233	0.064	3.662**	.000	0.126	0.334	S		0.080	2.283
H7: Comp -> MCC	.153	0.060	2.539*	.006	0.056	0.254	S		0.026	3.038

Note. S = Supported; NS = Not supported; LLCI = Lower Limit Confidence Interval; ULCI = Upper Limit Confidence Interval.

1-tailed test.

p-value < .05. **p-value < .01.

Moderation Analysis

Immersion as a moderator was incorporated to test the relationship between the motivational factors and Mukbang content consumption. The empirical findings showed a significant moderating path of immersion on the media appeal and Mukbang content consumption (β = .112, t-value = 2.089, p < .05). Therefore, H8f was confirmed (see Figures 2 and 3; Table 6).

Figure 2.

Structural model.

Figure 3.

Interaction plot.

Table 6.

Moderation Analysis.

Paths	Std. β	Std. error	T	p	LLCI (5%)	ULCI (95%)	D
H8a: Imm × ENJ -> MCC	−.212	0.056	3.776	.000	−0.308	−0.126	NS
H8b: Imm × ESC -> MCC	.018	0.068	0.262	.397	−0.097	0.119	NS
H8c: Imm × IS -> MCC	.034	0.054	0.626	.266	−0.053	0.124	NS
H8d: Imm × SI -> MCC	.047	0.055	0.857	.196	−0.051	0.129	NS
H8e: Imm × SP -> MCC	−.017	0.048	0.350	.363	−0.098	0.061	NS
H8f: Imm × MA -> MCC	.112	0.054	2.089*	.018	0.026	0.201	S
H8g: Imm × Comp -> MCC	.078	0.062	1.262	.104	−0.026	0.174	NS

Note. S = Supported; NS = Not supported; D = Decision; LLCI = Lower Limit Confidence Interval; UL = Upper Limit Confidence Interval.

1-tailed test.

p-value < .05.

PLS-predict Analysis

PLS-predict was used to solve the apparent dichotomy between explanation and prediction (Shmueli et al., 2019). Since the results of Q² predict values were all more than zero (see Table 7), the Q² predict indicates the model has sufficient predictive relevance. Hence, it indicated that the Mukbang content consumption has a medium predictive power.

Table 7.

PLS Predict.

Items	Q² predict	PLS-SEM_RMSE	LM_RMSE	PLS-SEM_LM	Interpretation
MCC1	0.601	0.824	0.750	0.074
MCC2	0.580	0.789	0.814	−0.025	Medium
MCC3	0.573	0.774	0.763	0.011
MCC4	0.491	0.838	0.891	−0.053

Discussion

Media appeal was found to be the most prominent motivator of Mukbang content consumption. This corresponds with the findings of numerous past studies (Anjani et al., 2020; Styawan & Buwana, 2023) in which viewers are positively motivated to watch Mukbang because they are drawn to Mukbang visual presentation and the eating style of the streamers (Spence et al., 2022).

The study also found social presence to be a significant motivator of Mukbang content consumption. This result is confirmed by a Song et al. (2023) study on Mukbang-watching which suggests that viewers are motivated by their desire to establish parasocial relationships online, which in turn, influences their continuous consumption of Mukbang content. Kircaburun et al. (2021) also found that social presence is a stronger predictor of Mukbang-watching. This is also supported by a study by Fong and Chang (2024), which found that Malaysians can get addicted to Mukbang videos as they allow viewers to engage in parasocial interactions with Mukbang artists and fellow audience members on social media, and form a virtual marketplace of social interactions that transcends physical distances.

Besides, compensation was found to be a significant motivator of Mukbang consumption. This result confirms the findings of Kircaburun, Harris, et al. (2020) that Mukbang-watching is used to fulfill viewers’ virtual compensation. The result is also congruent with the findings of Song (2021) on Mukbang user’s consuming behavior which found that viewers who obtain vicarious gratifications from watching Mukbang are heavy consumers of Mukbang content (E. K. Kang et al., 2020; Yoon, 2023). Finally, this study’s findings also mirror the results by Jiang et al. (2024) who found that vicarious satisfaction led to increased Mukbang ASMR addiction among Malaysian university students. For those who are addicted to Mukbang ASMR, watching these videos gives them vicarious satisfaction and compensation, as if they are eating the food themselves, consequently leading to satisfying their cravings. For female Mukbangers in Malaysia who are concerned with their body appearance and weight, just watching others eat would offer them the satisfaction of imagining what the food tastes and feels like without actually eating it themselves.

Information seeking was found to be a significant motivator for Mukbang content consumption. This finding is congruent with the results of (Song et al., 2023) which highlighted information seeking as a major factor driving engagement with Mukbang content, where viewers are motivated to watch Mukbang because of their desire to seek information like food recipes and food ingredients (Kim et al., 2022; Ngqangashe et al., 2022). As Malaysia is a food paradise with diverse culinary cultural traditions and influences (Muhammad Reza et al., 2020), sharing information via Mukbang videos allows social media users to learn about different cultural cuisines in Malaysia or inspire them to try new local recipes or cooking methods.

Although social interaction was found to be a significant motive to consume Mukbang content, it negatively influenced Mukbang content consumption among viewers in Malaysia. This result is in contrast with a study by Styawan and Buwana (2023) which found social interaction to be a significant motivator for Mukbang watching intention. However, in a collectivistic culture like Malaysia, particularly for working adults with heavy social commitments, watching Mukbang videos may not fulfill their social interaction needs. Mukbang videos are a largely individualistic activity, which may not appeal to those who use the media for social engagement or group-oriented activities. Additionally, Mukbang videos involve eating large quantities of food, which can be perceived as unhealthy or excessive among those around their social circle. A majority of respondents in this study are Malay Muslims (i.e., 75.1%); Islam does prohibit wasting food or showing off, which may be essential elements in a Mukbang video. Overall, although it may be entertaining, social interaction does appear to be a weak negative predictor of Mukbang content consumption due to these reasons.

Based on the findings, enjoyment was not found to be a significant motivator for Mukbang content consumption. This result is surprisingly in contrast with the findings from past studies of Kircaburun et al. (2023). Similarly, it is possible that since Malaysia is a predominantly Muslim country where being wasteful is frowned upon, perhaps a majority of the respondents in this study, might not find Mukbang videos entertaining, or perceive it as a lowbrow form of entertainment that is considered as less sophisticated and intellectually demanding (Minh et al., 2024). They may even find it vulgar, inappropriate, or even harmful.

Escapism was also found not to be a significant motivator among Mukbang watchers in Malaysia. This result contrasts with the findings of Kircaburun et al. (2022), who identified escapism as a significant factor driving Mukbang content consumption. For this study, it appears that Malaysian viewers are motivated by a different desire other than escape from reality when consuming Mukbang content. For instance, they may be more motivated to connect with Mukhbang artists when watching videos, or cultural curiosity about food and engaging in vicarious eating (i.e., compensation) rather than just a simple desire to escape from everyday life or reality.

Further, the insignificant results may occur due to the different demographic backgrounds of the respondents as previous studies mostly focused on young adults who are most attracted to social media (S. Çınar, 2023), while our study included older users above 30 years old, who are more inclined to consume media for its social influence (H. W. J. Chen et al., 2023; Norhayatimah & Melissa, 2022). Since they are working adults, their personal and work commitments will reduce time spent watching Mukbang content for enjoyment, escape, and social interaction purposes.

Conclusion

In conclusion, this study applied extended UGT to examine the motivators influencing Mukbang content consumption among viewers in Malaysia. This study found that only four (4) motivators, namely social presence, media appeal, compensation, and information seeking have a positive and significant impact on mukbang content consumption among viewers in Malaysia. In addition, the role of immersion as a significant moderator is only established between media appeal and Mukbang content consumption.

Academic Implications

The findings of the study can be applied to the UGT to better understand the motivations of viewers who consume Mukbang content. In addition, this study extends the UGT framework by incorporating three relatively new variables which are compensation, media appeal, and social presence to expand the original U&G. Hence, this expansion contributes to the UGT and broadens the aspect of gratifications. Although research on Mukbang is still in its early stages, previous studies on UGT have made a significant impact in the media context. Furthermore, the study findings can pave the way for future research that explores the evolving landscape of media consumption and media usage behavior of viewer motivations across different types of content. The existing research has primarily disentangled the consequences of Mukbang content-watching behavior, such as users’ satisfaction arising from Mukbang content, whereas the formation of such behavior has obtained limited attention (Song et al., 2023). The present study looked into the fact that viewers experience a technical adoption process and exhibit an inclination to watch Mukbang videos. Moreover, with limited research focusing on the moderating effects of immersion, our results suggested that increasing immersive experiences may facilitate the impact of media appeal on viewers’ Mukbang content consumption. Such exploration contributes to the literature on social media and internet behavior. Also, the moderating effects of immersion on the impacts of enjoyment, escapism, information seeking, social interaction, social presence, and compensation were insignificant. Future scholars are recommended to explore its role from different perspectives, such as Virtual Reality, Artificial Intelligence, and Learning Management Systems, and could also test immersion as the direct predictor among the variables (Chae, 2025; Tu & Jia, 2024).

Practical Implications

The study provided insight to Mukbang content creators and food brand marketers to understand the motivations of the viewers consuming Mukbang content. The findings can help the creators and marketers curate and tailor their content to better engage with the audiences, potentially grow their channels, and improve personal branding. As indicated by our findings, immersion is a facilitator on the impact of media appeal, thus implying that marketers should pay attention to how to enhance the attractiveness of the content and its performers. By identifying social presence as the significant motivator, Mukbang creators can create content that emphasizes building a strong connection with their audience through live streams, and real-time interactions with viewers’ comments. Hence, this can create a sense of community and foster parasocial relationships between the creators and viewers. This study also benefits viewers of Mukbang content. According to Kircaburun et al. (2021), Mukbang content can also lead to negative implications, such as disordered eating behavior and addictive watching behavior. Users should adopt effective strategies to avoid the formation of such behavior upon watching the Mukbang videos. For instance, they are recommended to reduce the intensity and improve their subjective mental health-related knowledge to minimize the adverse consequences.

Limitations and Future Research Avenues

There are several limitations in this study, primarily related to the sample size. Although the number of respondents (n = 269) is sufficient for statistical analysis, the sampling methods used may limit the validity of the results to the broader population of Mukbang viewers. The sample in this study may not adequately represent the general population and viewing habits of the Mukbang audience. Hence, future studies should increase the number of respondents so the results can fairly represent the population of Mukbang viewers and obtain better results.

The second limitation concerns the imbalance of the current demographic data. The study showed that the majority of the respondents were females (74.7%) aged between 21 and 25, and are mainly Malay. This demographic data indicates a lack of representation from male users, and other age groups, and ethnicities. Thus, the future study should focus on collecting a more balanced sample that includes respondents from diverse backgrounds in terms of gender, age, and ethnicity so that multi-group analysis can be performed.

This study only utilized a positivist approach. Hence, future studies could consider carrying out similar research by applying qualitative or mixed-methods designs to further explore the motivations influencing Mukbang content among viewers, which will give deeper insights. Although all the motivators in this study can contribute to the Mukbang content consumption by 70.2%, there are remaining percentages where future studies can include other variables such as parasocial relationship, cultural affinity (Tengku Mohd Azzman Shariffadeen et al., 2025), overconsumption behavior (Lee & Wan, 2023), problematic watching (Kircaburun et al., 2023), and experiential value (Valaei et al., 2022) to further expand the model and pivotally contribute to the media psychology and consumption scholarship.

Footnotes

ORCID iDs

Tak Jie Chan

Yang Tian

Tengku Siti Aisha Tengku Mohd Azzman Shariffadeen

Consent to Participate

Informed consent was obtained from all subjects involved in the study. Respondents were informed through the survey indicated on the voluntary participation, and confidentiality of the respondent’s information.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Data Availability Statement

The data supporting the study's findings are available from the corresponding author upon reasonable request.

References

Alifu

She

Wang

(2025). Analysis of the psychological mechanism of the audience of mass media information using the theory of use and gratification: Taking the behavior of watching “Mukbang” as an example. In Barstow

Briel

(Eds.), Connecting ideas, cultures, and communities (pp. 201–206). Routledge.

Andersen

Mayerl

(2019). Responding to socially desirable and undesirable topics: Different types of response behavior? Methods, Data, Analysis, 13(1), 7–35. https://doi.org/10.12758/mda.2018.06

Anjani

Mok

Tang

Oehlberg

Wooi

B. G.

(2020). Why do people watch others eat? An empirical study on the motivations and practices of Mukbang viewers. CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3313831.3376567

Basaran

Sunnetcioglu

(2021). Turkish anime viewers’ approach to Japanese cuisine culture. Journal of Ethnic Foods, 8, Article 8. https://doi.org/10.1186/s42779-021-00085-5

Bernardi

R. A.

Nash

(2022). The importance and efficacy of controlling for social desirability response bias. Ethics and Behaviour, 33(5), 413–429. https://doi.org/10.1080/10508422.2022.2093201

Bhatiasevi

(2024). The uses and gratifications of social media and their impact on social relationships and psychological well-being. Frontiers in Psychiatry, 15, Article 1260565. https://doi.org/10.3389/fpsyt.2024.1260565

Botha

Karam

Ogbonna

Payne

Stiehler

(2016). How to impress social media friends: The social motivations for sharing viral content. In Petruzzellis

Winer

(Eds.), Rediscovering the essentiality of marketing. Developments in marketing science: Proceedings of the Academy of Marketing Science (pp 243–257). Springer. https://doi.org/10.1007/978-3-319-29877-1_50

Camilleri

M. A.

Falzon

(2020). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing, 25(2), 216–236. http://doi.org/10.1108/SJME-04-2020-0074

Chae

H.-C.

(2025). How will individual streaming platforms disrupt the entertainment and retail industries? Insights from Mukbang phenomenon. Digital Transformation and Society, 4(2), 196–211. https://doi.org/10.1108/DTS-07-2024-0117

10.

Chan

T. J.

Han

Roslan

S. N.

Wok

(2022). Predictions of Netflix binge-watching behavior among university students during movement control order. Journal of Communication, Language and Culture, 2(2), 1–17. https://doi.org/10.33093/jclc.2022.2.2.1

11.

Chen

C. Y.

Chang

S. L.

(2019). Moderating effects of information-oriented versus escapism-oriented motivations on the relationship between psychological well-being and problematic use of video game live-streaming services. Journal of Behavioral Addictions, 8(3), 564–573. https://doi.org/10.1556/2006.8.2019.34

12.

Chen

H. W. J.

Marzo

R. R.

Nur Hafizah

Ahmad

Haryati

Baobaid

M. F.

Nurul

A. J.

Hazian

Sarrafan

Ads

H. O.

Kumar

K. A.

Jalal

Hafsah

Abdalqader

M. A.

(2023). Trends in health communication: Social media needs and quality of life among older adults in Malaysia. Healthcare (Basel), 11(10), Article 1455. https://doi.org/10.3390%2Fhealthcare11101455

13.

Çınar

(2020). The rise of consumer-generated content and its transformative effect on advertising. Routledge.

14.

Çınar

(2023). Why social media use is so attractive among young people in the 21st century? Brazilian Journal of Science, 2(4), 15–20. https://doi.org/10.14295/bjs.v2i4.285

15.

Durai

(2019, December 9). Mukbang mania. The Star Malaysia. https://www.pressreader.com/malaysia/the-star-malaysiastar2/20191208/281479278289711

16.

Fong

Chang

P. K.

(2024). The paradigm shift in Malaysian commensality: Symbolic Interactionism in Mukbang videos. Journal of Ethnic and Diversity Studies (JOEDS), 2(1).

17.

Gabbiadini

Baldissarri

Valtorta

R. R.

Durante

Mari

(2021). Loneliness, escapism, and identification with media characters: An exploration of the psychological factors underlying binge-watching tendency. Frontiers in Psychology, 12, Article 785970. https://doi.org/10.3389/fpsyg.2021.785970

18.

Gan

(2018). Understanding the effects of gratifications on the continuance intention to use WeChat in China: A perspective on uses and gratifications. Computers in Human Behavior, 78, 306–315. https://doi.org/10.1016/j.chb.2017.10.003

19.

Ghanad

(2023). An overview of quantitative research methods. International Journal of Multidisciplinary Research and Analysis, 6(8), 3794–3803. http://doi.org/10.47191/ijmra/v6-i8-52

20.

Giertz

J. N.

Weiger

W. H.

Törhönen

Hamari

(2022). Content versus community focus in live streaming services: How to drive engagement in synchronous social media. Journal of Service Management, 33(1), 33–58. https://doi.org/10.1108/JOSM-12-2020-0439

21.

Glo

J. A. A.

(2023). Report on uses and gratifications theory. Zenodo. https://doi.org/10.5281/zenodo.8122980

22.

Guerra-Tamez

C. R.

(2023). The impact of immersion through virtual reality in the learning experiences of art and design students: The mediating effect of the flow experience. Education Sciences, 13(2), Article 185. https://doi.org/10.3390/educsci13020185

23.

Gunter

Nicholas

Huntington

Williams

(2002). Online versus offline research: Implications for evaluating digital media. Aslib Proceedings, 54(4), 229–239. https://doi.org/10.1108/00012530210443339

24.

Gutman

Gordon

Vilchinsky

(2022). Is social presence indeed present in remote social interactions? A call for incorporating physiological measures of synchrony when assessing the social nature of interpersonal interactions via video conferencing platforms. Frontiers of Psychology, 13, Article 822535. https://doi.org/10.3389/fpsyg.2022.822535

25.

Hair

J. F.

Alamer

(2022). Partial Least Squares Structural Equation Modeling (PLS-SEM)in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), Article 100027. https://doi.org/10.1016/j.rmal.2022.100027

26.

Hair

J. F.

Hult

G. T. M.

Ringle

C. M.

Sarstedt

(2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage.

27.

Hair

J. F.

Risher

J. J.

Sarstedt

Ringle

C. M.

(2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

28.

Halfmann

Reinecke

(2021). Binge-watching as case of escapist entertainment use. In Vorderer

Christoph

(Eds.), The Oxford handbook of entertainment theory (pp. 181–189). Oxford University Press.

29.

Hamari

Shernoff

D. J.

Rowe

Coller

Asbell-Clarke

Edwards

(2016). Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning. Computers in Human Behavior, 54, 170–179. https://doi.org/10.1016/j.chb.2015.07.045

30.

Harris

(2023, January 19), Expert blog: Seoul food - why the sensory Korean food phenomenon known as ‘Mukbang’ is becoming popular in the West. Nottingham Trent University.

31.

Henseler

Ringle

C. M.

Sarstedt

(2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

32.

Henseler

Ringle

C. M.

Sinkovics

R. R.

(2009). The use of partial least squares path modeling in international marketing. In Sinkovics

R. R.

Ghauri

P. N.

(Eds.), New challenges to international marketing (Vol. 20, pp. 277–319). Emerald Group Publishing Limited.

33.

Hjetland

G. J.

Finseras

T. R.

Siversten

Colman

Hella

R. T.

Skogen

J. C.

(2022). Focus on self-presentation on social media across sociodemographic variables, lifestyles, and personalities: A cross-sectional study. International Journal of Environmental Research and Public Health, 19(17), Article 11133. https://doi.org/10.3390/ijerph191711133

34.

Hossain

M. A.

Kim

Jahan

(2019). Can “liking” behavior lead to usage intention on Facebook? Uses and gratification theory perspective. Sustainability, 11(4), Article 1166. https://doi.org/10.3390/su11041166

35.

Ibrahim

L. K.

Mohamed

A. G.

Aldhafeeri

F. M.

Alqdah

(2019). Faculty members’ perceptions towards utilizing blackboard in teaching system at Hafr Al-Batin University, Saudi Arabia. Journal of Nursing Education and Practice, 9(5), 64–74.

36.

Jenging

Mohamad

F. S.

(2022). Mukbang and me: Implications on cognition and physical well-being among undergraduates. Journal of Cognitive Sciences and Human Development, 8(2), 77–93. https://doi.org/10.33736/jcshd.4901.2022

37.

Jiang

Khong

K. W.

Chen

Khoo

K. L.

Xavier

J. A.

Jambulingam

(2024). Why am I obsessed with viewing Mukbang ASMR? The roles of mediated voyeurism and intertemporal choice. PLOS ONE, 19(9), Article e0308549. https://doi.org/10.1371/journal.pone.0308549

38.

Jin

Abas

W. A. W.

Kamarudin

(2023). The effects of Instagram users’ gratification on psychological response, and continued usage intention from the perspective of uses and gratification and stimulus-organism-response theory. International Journal of Academic Research in Business and Social Sciences, 13(3), 90–109.

39.

Jordan

P. J.

Troth

A. C.

(2020). Common method bias in applied settings: The dilemma of researching in organizations. Australian Journal of Management, 45(1), 3–14.

40.

Jouhki

Savolainen

Sirola

Oksanen

(2022). Escapism and excessive online behaviors: A three-wave longitudinal study in Finland during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 19(19), Article 12491. https://doi.org/10.3390%2Fijerph191912491

41.

Kang

E. K.

Lee

Kim

K. H.

Yun

Y. H.

(2020). The popularity of eating broadcast: Content analysis of “Mukbang” YouTube videos, media coverage, and the health impact of “Mukbang” on public. Health Informatics Journal, 26(3), 2237–2248.

42.

Kang

(2021). Sample size determination and power analysis using the G*Power software. Journal of Educational Evaluation for Health Professions, 18, 1–12. https://doi.org/10.3352/jeehp.2021.18.17

43.

Katz

Blumler

J. G.

Gurevitch

(1973). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509–523. https://doi.org/10.1086/268109

44.

Kim

D. M.

Kim

B. M.

Kim

K. H.

(2022). The mediating effects of food content watching motivation on the between watching time and nutrition quotient of adolescents in Seoul, Korea. Nutrients, 14(19), Article 3901. https://doi.org/10.3390/nu14193901

45.

Kircaburun

Balta

Emirtekin

Tosuntas

S. B.

Demetrovics

Griffiths

M. D.

(2021). Compensatory usage of the internet: The case of Mukbang watching on YouTube. Psychiatry Investigation, 18(4), 269–276. https://doi.org/10.30773/pi.2019.0340

46.

Kircaburun

Harris

Calado

Griffiths

M. D.

(2020). The psychology of Mukbang watching: A scoping review of the academic and non-academic literature. International Journal of Mental Health and Addiction, 19(3), 1190–1213. https://doi.org/10.1007/s11469-019-00211-0.

47.

Kircaburun

Harris

Calado

Griffiths

M. D.

(2023). Development and validation of problematic Mukbang watching scale and Mukbang watching motives scale: A cross-sectional study with adult Mukbang watchers. Psychiatry Research Communications, 3(3), Article 100138. https://doi.org/10.1016/j.psycom.2023.100138

48.

Kircaburun

Savci

Emirtekin

Griffiths

M. D.

(2020). The role of perceived feelings of presence and escapism in problematic Mukbang watching among emerging adult Mukbang watchers. Journal of Concurrent Disorders, 2(2), 16–22. https://irep.ntu.ac.uk/id/eprint/42861/

49.

Kircaburun

Savci

Emirtekin

Griffiths

M. D.

(2022). Uses and gratifications of problematic Mukbang watching – The role of eating and social gratification: A pilot study. Journal of Psychiatric Research, 146, 28–30. https://doi.org/10.1016/j.jpsychires.2021.12.036

50.

Kircaburun

Yurdagül

Kuss

Emirtekin

Griffiths.

M. D.

(2020). Problematic Mukbang watching and its relationship to disordered eating and internet addiction: A pilot study among emerging adult Mukbang watchers. International Journal of Mental Health and Addiction, 19, 2160–2169. https://doi.org/10.1007/s11469-020-00309-w

51.

Kiszka

Strojny

(2024). High immersion/escapism motivation makes gaming disorder risk less dependent of playtime among highly engaged male gamers. Frontiers in Psychiatry, 15, Article 1443091. https://doi.org/10.3389/fpsyt.2024.1443091

52.

Kline

R. B.

(2015). Principles and practice of structural equation modeling. Guilford Press.

53.

Kock

(2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101

54.

Lee

Wan

(2023). The impact of mukbang live streaming commerce on consumers’ overconsumption behavior. Journal of Interactive Marketing, 58(2–3), 198–221. https://doi.org/10.1177/10949968231156104

55.

Jiang

Chang

(2022). The influence mechanism of interaction quality in live streaming shopping on consumers’ impulsive purchase intention. Frontiers in Psychology, 13, Article 918196. https://doi.org/10.3389/fpsyg.2022.918196

56.

Guo

(2021). Virtual gifting and danmaku: What motivates people to interact in game live streaming? Telematics and Informatics, 62, Article 101624. https://doi.org/10.1016/j.tele.2021.101624

57.

Liu

Xiang

(2024). Impact of immersion experience on encountering information adoption: Experimental evidence from AI virtual live streaming under the algorithmic recommendation. Library Hi Tech.

58.

Liu

Pang

(2023). Enveloped in mediated pandemic: Immersion as a mediator of the effects of media exposure on perceived severity and behavioral intention. Chinese Journal of Communication, 17(2), 189–205. https://doi.org/10.1080/17544750.2023.2248287

59.

Mahady

Takac

Foe

A. D.

(2023). What is autonomous sensory meridian response (ASMR)? A narrative review and comparative analysis of related phenomena. Consciousness and Cognition, 109, Article 103477. https://doi.org/10.1016/j.concog.2023.103477

60.

Makwana

Engineer

Dabhi

Hardik

(2023). Sampling methods in research: A review. International Journal of Trend in Scientific Research and Development (IJTSRD), 7(3), 762–768.

61.

Memon

M. A.

Ting

Cheah

J. H.

Thurasamy

Chua

Cham

T. H.

(2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/JASEM.4(2)01

62.

Minh

D. T.

Vang

P. T. L.

T. P. D.

Nhu

H. T.

Huy

P. N. T.

(2024). The decision to watch Mukbang–Impact on eating habits and mental health: A study of Gen Z. VNU University of Economics and Business, 4(2), 58.

63.

Mou

Fan

Ding

Khan

(2024). Impact of virtual reality immersion on customer experience: Moderating effect of cross-sensory compensation and social interaction. Asia Pacific Journal of Marketing and Logistics, 36(1), 26–47.

64.

Muhammad Reza

Z. A.

Farah Adibah

C. I.

Ismi Arif

Nurul Hanisah

(2020). Modern Malaysian cuisine: Identity, culture or modern-day fad. International Journal of Gastronomy and Food Science, 21. Article 100220. https://doi.org/10.1016/j.ijgfs.2020.100220

65.

Ngqangashe

Maldoy

De Backer

J. S. C.

Vandebosch

(2022). Exploring adolescents’ motives for food media consumption using the theory of uses and gratifications. Communications, 47(1), 73–92. https://doi.org/10.1515/commun-2019-0164

66.

Norhayatimah

Melissa

(2022). Acceptance and use of social media among elderly during COVID-19 pandemic in Malaysia. Empirical Economic Letters, 21(2), 101–114.

67.

Nur Hasliza

M. S.

(2022, August 17). Why do people watch videos of other people eating? Malaysia Now. https://www.malaysianow.com/news/2022/08/17/why-do-people-watch-other-people-eat

68.

Nguyen

T. M. N.

B. N.

Leenders

M. A.

Poolsawat

(2024). Food vloggers and their content: Understanding pathways to consumer impact and purchase intentions. Journal of Trade Science, 12(2), 117–133.

69.

Pandey

Margam

Singh

B. P.

(2023). Quantitative research approach and its applications in library and information science research. An International Journal of Nepal Library Association, 2(1), 77–90. https://doi.org/10.3126/access.v2i01.58895

70.

Pavlič

Kožuh

Tomažič

(2025). Consumers’ responses to placed brands in 360° video: The impacts of perceived control and presence, moderated by immersion. Journal of Consumer Behaviour, 24(4), 1915–1929.

71.

Preacher

K. J.

Hayes

A. F.

(2008). Asymptotic and resampling strategies for assessing and comparing indirect effect in multiple mediator models. Behavior Research Methods, 40(1), 879–891. doi:10.3758/BRM.40.3.879

72.

Sanskriti

Guglani

Joshi

Anjankar

(2023). The spectrum of motivations behind watching mukbang videos and its health effects on its viewers. Cureus 15(8), Article e44392. https://doi.org/10.7759%2Fcureus.44392

73.

Shmueli

Sarstedt

Hair

J. F.

Cheah

J.-H.

Ting

Vaithilingam

Ringle

C. M.

(2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347.

74.

Song

H. G.

(2021). A study on Mukbang user’s consumer behavior [Doctoral dissertation, University of Nevada]. http://doi.org/10.34917/25374102

75.

Song

H. G.

Kim

Y.-S.

Hwang

(2023). How attitude and para-social interaction influence purchase intentions of Mukbang users: A mixed-method study. Behavioral Science, 13, Article 214. https://doi.org/10.3390/bs13030214

76.

Spence

Motoki

Petit

(2022). Factors influencing the visual deliciousness / eye-appeal of food. Food Quality and Preference, 102, Article 104672. https://doi.org/10.1016/j.foodqual.2022.104672

77.

Stein

Yeo

(2021). Investigating meal-concurrent media use: Social and dispositional predictors, intercultural differences, and the novel media phenomenon of “Mukbang” eating broadcasts. Human Behavior and Emerging Technologies, 3(5), 956–968. https://doi.org/10.1002/hbe2.306

78.

Styawan

Buwana

D. S.

(2023). Watching attitude factors in conveyance of Mukbang shows. Journal of Humanities, Social Sciences and Business (JHSSB), 2(2), 442–454. https://ojs.transpublika.com/index.php/JHSSB/article/view/540

79.

Sultana

S. F. S.

Das

(2022). Content analysis of Mukbang videos: Preferences, attitudes and concerns. Journal of Positive School Psychology, 6(9), 4811–4822.

80.

Tan

X. N.

(2023). Korean wave in Malaysia: A study on purchasing behavior of Malaysian youth. UTAR. http://eprints.utar.edu.my/id/eprint/6120

81.

Tengku Mohd Azzman Shariffadeen

T. S. A.

Chan

T. J.

Murniadi

(2025). Antecedents of purchase intention of Korean consumer products: A study of Malaysian K-drama binge watchers. SEARCH Journal of Media and Communication Research, 17(5), 17–32.

82.

Tian

Chan

T. J.

Liew

T. W.

Chen

M. H.

Liu

H. N.

(2024). Does personal innovativeness and personal anxiety matter? The predictors of continuance use intention of an e-wallet system. Kybernetes. Advance online publication. https://doi.org/10.1108/K-10-2023-2213

83.

tom Dieck

M. C.

Cranmer

Prim

Bamford

(2024). Can augmented reality (AR) applications enhance students’ experiences? Gratifications, engagement and learning styles, Information Technology & People, 37(3), 1251–1278. https://doi.org/10.1108/ITP-10-2021-0823

84.

Tsou

H. T.

Putra

M. T.

(2023). How gamification elements benefit brand love: The moderating effect of immersion. Marketing Intelligence & Planning, 41(7), 1015–1036.

85.

J.-C.

Jia

X.-H.

(2024). A study on immersion and intention to pay in AR broadcasting: validating and expanding the hedonic motivation system adoption mode. Sustainability, 16(5), Article 2040. https://doi.org/10.3390/su16052040

86.

Valaei

Bressolles

Khan

Low

Y. M.

(2022). Ads in gaming apps: Experiential value of gamers. Industrial Management & Data Systems, 122(1), 78–106. https://doi.org/10.1108/IMDS-11-2020-0660

87.

K. N.

A. N. H.

Thanh Tam

Ho Xuan

(2022). Immersive experience and customer responses towards mobile augmented reality applications: The moderating role of technology anxiety. Cogent Business & Management, 9(1), Article 2063778. https://doi.org/10.1080/23311975.2022.2063778

88.

Wan Kamal

Yoan

R. S.

Kim

H. K.

(2022). The cultural and religious conflict between Korean Wave and Islamic values. Islāmiyyāt, 44(1), 193–201. https://doi.org/10.17576/islamiyyat-2022-4401-17

89.

Wang

(2020). What motivates audience comments on live-streaming platforms? PLOS ONE, 15(4), Article e0231255. https://doi.org/10.1371/journal.pone.0231255

90.

Wang

(2020). A study on potential health issues behind the popularity of “Mukbang” in China [Master’s dissertation, Middle Tennessee State University]. https://jewlscholar.mtsu.edu/handle/mtsu/6198

91.

Yang

Jiao

Wang

(2022). We buy what we wanna be: Understanding the effect of brand identity driven by consumer perceived value in the luxury sector. Frontiers in Psychology, 13, Article 1002275. https://doi.org/10.3389/fpsyg.2022.1002275

92.

Xiao

Zhong

Wang

Tang

Song

P. G.

Cheng

Xia

(2024). Psychological and physiological experiences of youth watching Mukbang in China: A qualitative study. Children and Youth Services Review, 163, Article 107729. https://doi.org/10.1016/j.childyouth.2024.107729

93.

X.-Y.

Tayyab

S. M. U.

(2021). How the intensity of the immersive experience impels the extent of social streaming app dependency? An empirical assessment with mediation and moderation effects. Telematics and Informatics, 63, Article 101661. https://doi.org/10.1016/j.tele.2021.101661

94.

Yan

(2023). Why time flies? The role of immersion in short video usage behavior. Frontiers in Psychology, 14, Article 1127210. https://doi.org/10.3389/fpsyg.2023.1127210

95.

Yin

(2023). The changing landscape of media communication: An analysis of the impact of new media marketing on news consumption and consumer behavior. International Journal of Education and Humanities, 11(3), 9–12. https://doi.org/10.54097/ijeh.v11i3.14436

96.

Yoon

(2023). Introducing Korean popular culture: Precarious eating - Young Koreans’ digital practice of Mukbang. Routledge.

97.

You

Wang

Shamu

(2023). The impact of network social presence on live streaming viewers’ social support willingness: A moderated mediation model. Humanities Social Sciences Communications, 10, Article 385. https://doi.org/10.1057/s41599-023-01892-8

98.

Zha

Yang

Yan

Liu

Huang

(2018). Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task: Moderating role of focused immersion. Computers in Human Behavior, 79, 227–237. https://doi.org/10.1016/j.chb.2017.10.038

The Moderating Role of Immersion on the Motives of Watching Mukbang and its Consumption: An Extended Uses and Gratifications Approach

Abstract

Keywords

Introduction

Literature Review

Theoretical Foundations

Hypothesis Development

Methodology

Research Design

Sampling Procedure

Measurement

Data Collection Procedure

Data Analysis and Statistical Procedure

Results

Common Method Variance

Assessment of Measurement Model

Assessment of Structural Model

Moderation Analysis

PLS-predict Analysis

Discussion

Conclusion

Academic Implications

Practical Implications

Limitations and Future Research Avenues

Footnotes

ORCID iDs

Consent to Participate

Funding

Declaration of Conflicting Interests

Data Availability Statement

References