Cyberpsychology,Behavior,and Social Networking

We explored how sexting (no sexting, sent only, received only, reciprocal) was associated with depression, anxiety, sleep problems, and compulsive sexual behaviors across sex and sexual identity groups. We also examined how substance use predicted sexting classifications. Data came from 2,160 college students living in the United States. Results indicated that 76.6 percent of the sample had engaged in sexting (primarily reciprocal). Participants who had engaged in sexting generally evidenced higher depression, anxiety, sleep problems, and compulsive sexual behaviors. Effect sizes were largest on compulsive sexual behavior indicators. Marijuana use was the only significant substance use predictor of reciprocal and “received only” sexting compared with no sexting. Illicit substance use (e.g., cocaine) was low base rate but descriptively was associated with sexting. Compulsive sexual behavior remained a robust positive correlate of sexting compared with non-sexting participants regardless of sex and sexual identity. Most other mental health indicators became nonsignificant correlates of sexting in nonheterosexual participants and were weak positive correlates in heterosexual participants. Marijuana use remained the only significant substance use predictor of reciprocal and “received only” sexting when adjusted for sex and sexual identity. We conclude that sexting is only weakly associated with depression, anxiety, and sleep problems but robustly associated with compulsive sexuality and marijuana use. These findings do not appear to vary meaningfully on the basis of sex or sexual identity, with the exception that the effect sizes between sexting and compulsive sexual behaviors were much stronger for females compared with males (regardless of sexual identity).

Previous research of gender differences in power has largely focused on the public domain (e.g., leadership positions), and to a lesser extent power on the private domain (e.g., power in private relationships), where people may perceive these domains to be more or less important in their lives. We studied gender differences in preference weighted power (PWP) in different domains by weighting the perceived power by the perceived importance in life in a large set of Twitter messages from the United States (N = 9,286,471). The results showed that men (tweets including “he”) are semantically related to general power, and women (tweets including “she”) are related to importance in life, which in previous research have been connected to the public and private domains, respectively. Importantly, women had higher PWP than men. In conclusion, men are perceived to have more general power and women more PWP in U.S. tweets.

Since the breakout of COVID-19 in late 2019, various conspiracy theories have spread widely on social media and other channels, fueling misinformation about the origins of COVID-19 and the motives of those working to combat it. This study analyzes tweets (N = 313,088) collected over a 9-month period in 2020, which mention a set of well-known conspiracy theories about the role of Bill Gates during the pandemic. Using a topic modeling technique (i.e., Biterm Topic Model), this study identified ten salient topics surrounding Bill Gates on Twitter, and we further investigated the interactions between different topics using Granger causality tests. The results demonstrate that emotionally charged conspiratorial narratives are more likely to breed other conspiratorial narratives in the following days. The findings show that each conspiracy theory is not isolated by itself. Instead, they are highly dynamic and interwoven. This study presents new empirical insights into how conspiracy theories spread and interact during crises. Practical and theoretical implications are also discussed.

Intensified preventive measures during the COVID-19 pandemic, such as lockdown and social distancing, heavily increased the perception of social isolation (i.e., a discrepancy between one's social needs and the provisions of the social environment) among young adults. Social isolation is closely associated with situational loneliness (i.e., loneliness emerging from environmental change), a risk factor for depressive symptoms. Prior research suggested vulnerable young adults are likely to seek support from an online social platform such as Reddit, a perceived comfortable environment for lonely individuals to seek mental health help through anonymous communication with a broad social network. Therefore, this study aims to identify and analyze depression-related dialogues on loneliness subreddits during the COVID-19 outbreak, with the implications on depression-related infoveillance during the pandemic. Our study utilized logistic regression and topic modeling to classify and examine depression-related discussions on loneliness subreddits before and during the pandemic. Our results showed significant increases in the volume of depression-related discussions (i.e., topics related to mental health, social interaction, family, and emotion) where challenges were reported during the pandemic. We also found a switch in dominant topics emerging from depression-related discussions on loneliness subreddits, from dating (prepandemic) to online interaction and community (pandemic), suggesting the increased expressions or need of online social support during the pandemic. The current findings suggest the potential of social media to serve as a window for monitoring public mental health. Our future study will clinically validate the current approach, which has implications for designing a surveillance system during the crisis.

The growing demand for mental health services and artificial intelligence chatbots to replace human agents have led to increased attention to chatbot anthropomorphizing. This study explored the effect of anthropomorphism on counseling satisfaction and reuse intention for chatbot-led mental health counseling and the mediating role of social rapport in the relationship. This study also examined the interaction effect of anthropomorphism and social anxiety on counseling satisfaction and reuse intention. A total of 374 U.S. adults were recruited from an online crowdsourcing company to simulate user-chatbot interactions in the context of mental health counseling. Two chatbots either with a high anthropomorphic design (i.e., human face) or low anthropomorphic design (i.e., robot face) were developed through Dialogflow—a natural language processing engine—to examine the hypotheses. The results revealed that the high anthropomorphic design produced higher counseling satisfaction and reuse intention than the low anthropomorphic design, while this relationship is mediated by the perceived social rapport between chatbot counselors and users. The results further revealed a significant interaction effect of anthropomorphism and social anxiety on counseling satisfaction and reuse intention. The findings of this study are expected to (a) enhance the understanding of the effect of anthropomorphic chatbots on counseling satisfaction and reuse intention, (b) clarify moderating effects of social rapport and social anxiety, and (c) help mental health practitioners and chatbot designers by providing a psychological mechanism of how anthropomorphism functions in the context of human–chatbot interaction.

China has long been suffering from the problem of having health care that is expensive and difficult to access. Online patient–provider communication (OPPC) can offer a viable channel to increase access to care. However, through what underlying mechanisms OPPC can be associated with better health outcome is under-researched. To fill this research gap, this study investigated OPPC usage in China and identified psychological processes linking OPPC to emotional well-being. With two-wave panel surveys conducted in China, we found that mobile health app, social media, and health information service website were three common platforms for OPPC, followed by patient portal, whereas e-mail was used least frequently. Overall, OPPC did not have any direct effect on emotional well-being. Instead, OPPC first increased users' perceived social presence of providers in OPPC, which in turn triggered sense of patient empowerment, which finally enhanced emotional well-being.

Although media production is a critical concept in communication theory, we know surprisingly little about the timing, content, and context of individuals' production behavior. Intensive observation and analysis of 94 American adults' smartphone use over 1 week showed that although time spent in producing content was on average only about 6 percent of the amount of time spent on smartphones, the production content was more purposeful, expressive, articulate, condensed, confident, personal, and emotionally charged than consumption content. Analysis of the temporal dynamics of production suggests that the content consumed in the minute before individuals' production began to resemble the subsequently produced content. Other results suggest that content production on smartphones was fragmented, idiosyncratic, and purposeful, highlighting the impact of individuals' quick interactions with media, and the need to develop user-centric theories about how, when, and why individuals produce digital content.

This study explored how national news media use and social media use were related to indirect experience of COVID-19 that was associated with higher personal risk perception. Based on a survey of 358 college students, we found that national news media use was unrelated to indirect experience, and its relationship to risk perception was limited to the societal level. Instagram use, in contrast, was related to indirect experience and in turn related to higher personal risk perception. However, without the mediating role of indirect experience, Instagram use was related to lower personal risk perception. Drawing upon these findings, we discuss the importance of social networks (i.e., individuals to whom people are connected in everyday life) in studies of risk perception.