Evaluation of the Factors That Impact the Perception of Online Content Trustworthiness by Income, Political Affiliation and Online Usage Time DOI Creative Commons
Matthew Spradling, Jeremy Straub

Future Internet, Journal Year: 2022, Volume and Issue: 14(11), P. 320 - 320

Published: Nov. 3, 2022

Intentionally deceptive online content represents a significant issue for society. Multiple techniques have been proposed to identify and combat its spread. To understand how inform individuals most effectively about the potential biases of other issues with content, this article studies factors that impact perception content. Specifically, it looks at these similar or different depending on income level, political affiliation usage time Americans. A national survey was conducted asked respondents multiple influence their others’ trustworthiness. It also what ideal should be. This data is presented analyzed herein, conclusions are drawn implications, regard preventing spread discussed.

Language: Английский

Misinformation warning labels are widely effective: A review of warning effects and their moderating features DOI
Cameron Martel, David G. Rand

Current Opinion in Psychology, Journal Year: 2023, Volume and Issue: 54, P. 101710 - 101710

Published: Oct. 19, 2023

Language: Английский

Citations

40
Community notes increase trust in fact-checking on social media DOI Creative Commons
Chiara Patricia Drolsbach, Kirill Solovev, Nicolas Pröllochs

et al.

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(7)

Published: May 31, 2024

Community-based fact-checking is a promising approach to fact-check social media content at scale. However, an understanding of whether users trust community fact-checks missing. Here, we presented

Language: Английский

Citations

8
Decreasing user engagement in clickbait: an ERP study on the effectiveness of warning labels in online platform DOI
Yunshan Jiang, Xin Li, Jia Zhou

et al.

Universal Access in the Information Society, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0
Community notes reduce the spread of misleading posts on X DOI Open Access
Yuwei Chuai, Moritz Pilarski, Gabriele Lenzini

et al.

Published: April 29, 2024

Community-based fact-checking is a promising approach to verify social media content and correct misleading posts at scale. Yet, causal evidence regarding its effectiveness in reducing the spread of misinformation on missing. Here, we performed large-scale empirical study analyze whether community notes reduce X. Using Difference-in-Differences design repost time series data for N=31,758 (community fact-checked) cascades that had been reposted more than 68 million times, found exposing users reduced by, average, 61.4%. However, our findings also suggest might be too slow intervene early (and most viral) stage diffusion. Our work offers important implications enhance community-based approaches media.

Language: Английский

Citations

3
"I'm Constantly in This Dilemma": How Migrant Technology Professionals Perceive Social Media Recommendation Algorithms DOI Creative Commons
Cassidy Pyle, Zefeng Zhang, Oliver L. Haimson

et al.

Proceedings of the ACM on Human-Computer Interaction, Journal Year: 2024, Volume and Issue: 8(CSCW1), P. 1 - 33

Published: April 17, 2024

Migrants experience unique needs and use social media, in part, to address them. While prior work has primarily focused on migrant populations who are vulnerable socio-economically legally, less is known about how highly educated media. Additionally, a growing body of focuses algorithmic perceptions resistance, from laypersons' perspectives rather than people with high degrees literacy. To these gaps, we draw interviews 20 Chinese-born technology professionals. We found that media played an integral role helping participants meet their but perceived algorithms negatively shape the content they consumed, which ultimately influenced mobility-related aspirations goals. discuss findings challenge promise literacy contribute human-centered conceptualization mobility as socially algorithmically produced motion concerns movement physical bodies interactions well associated digital movement. Specifically, introduce fourth dimension mobility: curated elsewhere based facets users' identities directly influences goals, such how, when, where go. Finally, call for transnational policy interventions related highlight design considerations around moderation, user-control, contestability.

Language: Английский

Citations

2
Misinformation warning labels are widely effective: A review of warning effects and their moderating features DOI Open Access
Cameron Martel, David G. Rand

Published: Oct. 14, 2023

There is growing concern over the spread of misinformation online. One widely adopted intervention by platforms for addressing falsehoods applying ‘warning labels’ to posts deemed inaccurate fact-checkers. Despite a rich literature on correcting after exposure, much less work has examined effectiveness warning labels presented concurrent with exposure. Promisingly, existing research suggests that effectively reduce belief and misinformation. The size these beneficial effects depends how are implemented characteristics content being labeled. some individual differences, recent evidence indicates generally effective across party lines other demographic characteristics. We discuss potential implications limitations labelling policies online

Language: Английский

Citations

4
Assessment of Factors Impacting the Perception of Online Content Trustworthiness by Age, Education and Gender DOI Creative Commons
Jeremy Straub, Matthew Spradling,

Bob Fedor

et al.

Societies, Journal Year: 2022, Volume and Issue: 12(2), P. 61 - 61

Published: March 31, 2022

Online content trustworthiness has become a topic of significant interest due to the growth so-called ‘fake news’ and other deceptive online content. Deceptive been responsible for an armed standoff, caused mistrust surrounding elections reduced trust in media, generally. Modern society, though, depends on ability share information function. Citizens may be injured if they don’t heed medical, weather emergency warnings. Distrust educational impedes transfer knowledge innovations societal growth. To function properly, shared is critical. This article seeks understand problem possible solutions. It assesses impact characteristics articles their authors, publishers sponsors perceived ascertain how Americans make decisions. analysis conducted with focus these factors varies based individuals’ age, education gender.

Language: Английский

Citations

7
Social Media Exposure and Left-behind Children’s Tobacco and Alcohol Use: The Roles of Deviant Peer Affiliation and Parent–Child Contact DOI Creative Commons
Li Wu,

Liangshuang Yao,

Yuanxiang Guo

et al.

Behavioral Sciences, Journal Year: 2022, Volume and Issue: 12(8), P. 275 - 275

Published: Aug. 8, 2022

The public has always been concerned about the problem behaviors of children and teenagers (such as cigarette alcohol use), especially among disadvantaged groups (e.g., left-behind in China); current information era, children’s use social media also increasingly expanded, which diverse effects on their adaptation. Accordingly, present study examined association between exposure to relevant content tobacco use, well underlying mechanisms—the mediating effect deviant peer affiliation moderating parent–child contact, gender differences were investigated. A sample 515 Chinese (Mage = 13.39 ± 2.52 years, 45.0% girls) was recruited complete a set questionnaires assessing main variables. results show that positively associated with significantly mediated this relationship. Furthermore, interaction attenuated link girls, but not statistically significant boys. role contact insignificant both boys girls. These findings may have significance several ways—theoretically, they only deepen our understanding risk factors mechanism era influences use; practically, provide direction for health improvement different genders.

Language: Английский

Citations

7
Community notes increase trust in fact-checking on social media DOI
Chiara Patricia Drolsbach, Kirill Solovev, Nicolas Pröllochs

et al.

Published: April 29, 2024

Community-based fact-checking is a promising approach to fact-check social media content at scale. However, an understanding of whether users trust community fact-checks missing. Here, we presented n = 1810 Americans with 36 misleading and non-misleading posts assessed their in different types interventions. Participants were randomly assigned treatments where was either accompanied by simple (i.e., context-free) misinformation flags formats (expert or flags), textual "community notes" explaining why the fact-checked post misleading. Across both sides political spectrum, notes perceived as significantly more trustworthy than flags. Our results further suggest that higher trustworthiness primarily stemmed from context provided explanations) rather generally towards fact-checkers. Community also improved identification posts. In sum, our work implies matters might be effective mitigate issues

Language: Английский

Citations

1
The Role of Content Labeling and Discrete Emotions in User Participation in a COVID-19 U.S. Reddit Community DOI

Jinie Pak,

Hyang Sook Kim

Journalism & Mass Communication Quarterly, Journal Year: 2024, Volume and Issue: unknown

Published: July 24, 2024

Despite current practices of social media platforms, scholars have not confirmed whether content moderation facilitates community participation. Based on 1,739 submission threads and 21,237 associated comments a COVID-19 U.S. subreddit, we found that labels cued high-source credibility (HSC) predicted more voting commenting behaviors than low-source (LSC). Further examination the potential mediation discrete emotions revealed HSC cues evoked emotion LSC for all emotions. However, only positive (i.e., joy, trust, anticipation) encouraged voting, while mixed pattern across emerged commenting.

Language: Английский

Citations

0