The internet was once seen as a beacon of hope for democratizing public access to information, but scholars argue that social media has led to frustration, isolation, and pseudo-information. This volume presents empirical studies exploring paths to potentially rebuild ideal communication situations, if ever, in the digital age and cope with digital information failure. Can we salvage an ill-informed society? These studies offer insights into addressing these issues.
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2.
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3.
ChaY.PersadV. J.YeoS. (2023). Selective forfending on controversial issues related to large corporations: An exploration into the public’s acquisition and transmission characteristics by conspiracy orientation and problem-solving situational factors. American Behavioral Scientist, x(x), xx–xx.
4.
ChiuM. M.MorakhovskiA.EbertD.ReinertA.SnyderL. (2023). Detecting COVID-19 fake news on Twitter: Followers, emotions, relationships, and uncertainty. American Behavioral Scientist, x(x), xx–xx.
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De OliveiraN. R.PisaP. S.LopezM. A.de MedeirosD. S. V.MattosD. M. (2021). Identifying fake news on social networks based on natural language processing: Trends and challenges. Information, 12(1), 38. https://doi.org/10.3390/info12010038
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Gil de ZúñigaH.Marcos-MarnéH.GoyanesM.ScheffauerR. (2024). Social media democracy mirage: A systematic literature review and empirical evidence of how social media fuels a politically uninformed participatory democracy. Cambridge University Press.
7.
Gil de ZúñigaH.KimJ.-N. (2022). Intervening troubled marketplace of ideas: How to redeem trust in media and social institutions from pseudo-information. American Behavioral Scientist. Advance online publication. https://doi.org/10.1177/00027642221118279
8.
HabermasJ. (1991). The structural transformation of the public sphere: An inquiry into a category of bourgeois society. MIT Press.
9.
HaenschenK.SchuM. X.GillilandJ. A. (2023). Curated misinformation: Liking Facebook pages for fake news sites. American Behavioral Scientist, x(x), xx–xx.
10.
HameleersMVan der MeerT. G. L. A. (2023). This is clearly fake! Mis- and disinformation beliefs and the (accurate) recognition of pseudo-information – Evidence from the US and the Netherlands. American Behavioral Scientist, x(x), xx–xx.
11.
HameleersM.van der MeerT. G. L.A. (2020). Misinformation and polarization in a high-choice media environment: How effective are political fact-checkers?Communication Research, 47(2), 227–250. https://doi.org/10.1177/0093650218819671
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KimJ.-N.Gil de ZúñigaH. (2021). Pseudo-information, media, publics, and the failing marketplace of ideas: Theory. American Behavioral Scientist, 65(2), 163–179. https://doi.org/10.1177/0002764220950606
13.
KimJ.-N.GrunigJ. E. (2011). Problem solving and communicative action: A situational theory of problem solving. Journal of Communication, 61(1), 120–149. https://doi.org/10.1111/j.1460-2466.2010.01529.x
14.
KimJ.-N.GrunigJ. E. (2021). Lost in informational paradise: Cognitive arrest to epistemic inertia in problem solving. American Behavioral Scientist, 65(2), 213–242. https://doi.org/10.1177/0002764219878237
15.
KimJ.-N.KrishnaA. (2014). Publics and lay informatics: A review of the situational theory of problem solving. Annals of the International Communication Association, 38(1), 71–105. https://doi.org/10.1080/23808985.2014.11679159
16.
KimJ.-N.LeeS. (2023). Conceptualizing conspiratorial thinking: Explicating public conspiracism for effective debiasing strategy. American Behavioral Scientist, x(x), xx–xx.
17.
KruglanskiA. W. (2013). The psychology of closed mindedness. Psychology Press.
18.
MindichD. T. (2005). Tuned out: Why Americans under 40 don’t follow the news. Oxford University Press.
19.
Oeldorf-HirschA.SchmierbachM.AppelmanA.BoyleM. P. (2023). The influence of fact-checking is disputed! The role of party identification in processing and sharing fact-checked social media posts. American Behavioral Scientist, x(x), xx–xx.
20.
OhY. W.ParkC. H. (2023). User perceptions of AI-based comment filtering technology. American Behavioral Scientist, x(x), xx–xx.
21.
OhY. W.ParkC. H. (2021). Machine cleaning of online opinion spam: Developing a machine-learning algorithm for detecting deceptive comments. American Behavioral Scientist, 65(2), 389–403.
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24.
TamL.LeeH. (2023). From conspiracy orientation to conspiracy attribution: The effects of institutional trust and demographic differences. American Behavioral Scientist, x(x), xx–xx.