The effect of traffic light veracity labels on perceptions of political advertising source and message credibility on social media DOI Creative Commons
Tom Dobber, Sanne Kruikemeier, Fabio Votta

и другие.

Journal of Information Technology & Politics, Год журнала: 2023, Номер unknown, С. 1 - 16

Опубликована: Июнь 22, 2023

The use of warning labels on political advertisements is one way to help citizens better evaluate the source and veracity messaging, combat harms misinformation social media. Reliance labeling part a larger policy push for greater transparency media platforms with respect quality information. In this study, we test effectiveness "traffic light" (red, orange, green) as indicia YouTube. an online experiment (N=1,054), seven variations TL-veracity find that red orange traffic light placed concurrently start advertisement significantly affect credibility perceptions. Taken together, findings suggest direct-to-consumer can be effective inputs perceptions, but their depends timing position.

Язык: Английский

Countering Misinformation DOI Creative Commons
Jon Roozenbeek, Eileen Culloty, Jane Suiter

и другие.

European Psychologist, Год журнала: 2023, Номер 28(3), С. 189 - 205

Опубликована: Июль 1, 2023

Abstract: Developing effective interventions to counter misinformation is an urgent goal, but it also presents conceptual, empirical, and practical difficulties, compounded by the fact that research in its infancy. This paper provides researchers policymakers with overview of which individual-level are likely influence spread of, susceptibility to, or impact misinformation. We review evidence for effectiveness four categories interventions: boosting (psychological inoculation, critical thinking, media information literacy); nudging (accuracy primes social norms nudges); debunking (fact-checking); automated content labeling. In each area, we assess empirical evidence, key gaps knowledge, considerations. conclude a series recommendations tech companies ensure comprehensive approach tackling

Язык: Английский

Процитировано

61

Toolbox of individual-level interventions against online misinformation DOI
Anastasia Kozyreva, Philipp Lorenz-Spreen, Stefan M. Herzog

и другие.

Nature Human Behaviour, Год журнала: 2024, Номер 8(6), С. 1044 - 1052

Опубликована: Май 13, 2024

Язык: Английский

Процитировано

54

Quantifying the impact of misinformation and vaccine-skeptical content on Facebook DOI Open Access
Jennifer Allen, Duncan J. Watts, David G. Rand

и другие.

Science, Год журнала: 2024, Номер 384(6699)

Опубликована: Май 30, 2024

Low uptake of the COVID-19 vaccine in US has been widely attributed to social media misinformation. To evaluate this claim, we introduce a framework combining lab experiments (total N = 18,725), crowdsourcing, and machine learning estimate causal effect 13,206 vaccine-related URLs on vaccination intentions Facebook users ( ≈ 233 million). We that impact unflagged content nonetheless encouraged skepticism was 46-fold greater than misinformation flagged by fact-checkers. Although reduced predicted significantly more when viewed, users’ exposure limited. In contrast, stories highlighting rare deaths after were among Facebook’s most-viewed stories. Our work emphasizes need scrutinize factually accurate but potentially misleading addition outright falsehoods.

Язык: Английский

Процитировано

38

Prominent misinformation interventions reduce misperceptions but increase scepticism DOI Creative Commons
Emma Hoes, Brian Aitken, Jingwen Zhang

и другие.

Nature Human Behaviour, Год журнала: 2024, Номер 8(8), С. 1545 - 1553

Опубликована: Июнь 10, 2024

Current interventions to combat misinformation, including fact-checking, media literacy tips and coverage of may have unintended consequences for democracy. We propose that these increase scepticism towards all information, accurate information. Across three online survey experiments in diverse countries (the United States, Poland Hong Kong; total n = 6,127), we tested the negative spillover effects existing strategies compared them with alternative against misinformation. examined how exposure misinformation affects individuals' perception both factual false as well their trust key democratic institutions. Our results show while successfully reduce belief they also negatively impact credibility This highlights need further improved minimize harms maximize benefits

Язык: Английский

Процитировано

23

Psychological Underpinnings of Misinformation Countermeasures DOI Creative Commons
Carolin‐Theresa Ziemer, Tobias Rothmund

Journal of Media Psychology Theories Methods and Applications, Год журнала: 2024, Номер 36(6), С. 397 - 409

Опубликована: Янв. 23, 2024

Abstract: There has been substantial scholarly effort to (a) investigate the psychological underpinnings of why individuals believe in misinformation, and (b) develop interventions that hamper their acceptance spread. However, there is a lack systematic integration these two research lines. We conducted scoping review empirically tested (N = 176) counteract misinformation. developed an intervention map analyzed boosting, inoculation, identity management, nudging, fact-checking as well various subdimensions. further examined how are theoretically derived from most prominent accounts for misinformation susceptibility: classical motivated reasoning. find majority studies interventions, poorly linked basic theory not geared towards reducing Based on this, we outline future avenues effective countermeasures against

Язык: Английский

Процитировано

20

The Landscape of User-centered Misinformation Interventions - A Systematic Literature Review DOI Open Access
Katrin Hartwig,

Frederic Doell,

Christian Reuter

и другие.

ACM Computing Surveys, Год журнала: 2024, Номер 56(11), С. 1 - 36

Опубликована: Июнь 25, 2024

Misinformation is one of the key challenges facing society today. User-centered misinformation interventions as digital countermeasures that exert a direct influence on users represent promising means to deal with large amounts information available. While an extensive body research this topic exists, researchers are confronted diverse landscape spanning multiple disciplines. This review systematizes user-centered facilitate knowledge transfer, identify trends, and enable informed decision-making. Over 6,000 scholarly publications were screened, systematic literature ( N=172 ) was conducted. A taxonomy derived regarding intervention design (e.g., labels, showing indicators misinformation, corrections, removal, or visibility reduction content), user interaction (active passive), timing pre post exposure request user). We provide structured overview approaches across disciplines derive six overarching for future transferability (1) novel platforms (2) emerging video- image-based sensible combination automated mechanisms (3) human experts (4) feedback comprehensibility, (5) encouraging media literacy without exposure, (6) adequately addressing particularly vulnerable such older people adolescents.

Язык: Английский

Процитировано

20

Quantifying the “infodemic”: People turned to trustworthy news outlets during the 2020 coronavirus pandemic DOI Creative Commons

Sacha Altay,

Rasmus Kleis Nielsen, Richard Fletcher

и другие.

Journal of Quantitative Description Digital Media, Год журнала: 2022, Номер 2

Опубликована: Авг. 26, 2022

How did the 2020 coronavirus pandemic affect people's online news consumption? To understand this, we present a comparative analysis of data on an estimated 905B desktop and mobile visits to outlets, 54B Facebook engagements, generated by outlets in US, UK, France, Germany between 2017 2021. We find that consumption increased. Trustworthy benefited most from increase web traffic. In UK trustworthy also engagement, but other countries both untrustworthy engagement. Overall, captured 2.3% traffic 14.0% while regularly publishing false content accounted for 1.4% 6.8% People largely turned during pandemic.

Язык: Английский

Процитировано

70

Toolbox of Interventions Against Online Misinformation DOI Open Access
Anastasia Kozyreva, Philipp Lorenz-Spreen, Stefan M. Herzog

и другие.

Опубликована: Дек. 16, 2022

The spread of misinformation through media and social networks threatens many aspects society, including public health the state democracies. One approach to mitigating impact focuses on individual-level interventions, equipping policy-makers with essential tools curb influence falsehoods. Here we introduce a toolbox individual-focused interventions aimed at reducing harm from online misinformation. Comprising an up-to-date account featured in 81 scientific papers across globe, is resource for scientists, policymakers, public. It provides both conceptual overview breadth interventions---including their target, scope, examples---and summary empirical evidence supporting methods experimental paradigms used test them. covers nine categories interventions: accuracy prompts, debunking rebuttals, friction, inoculation, lateral reading verification strategies, media-literacy tips, norms, source-credibility labels, warning fact-checking labels.

Язык: Английский

Процитировано

48

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, Год журнала: 2023, Номер 54, С. 101710 - 101710

Опубликована: Окт. 19, 2023

Язык: Английский

Процитировано

42

Exposure to untrustworthy websites in the 2020 US election DOI Open Access
Ryan C. Moore, Ross Dahlke, Jeffrey T. Hancock

и другие.

Nature Human Behaviour, Год журнала: 2023, Номер 7(7), С. 1096 - 1105

Опубликована: Апрель 13, 2023

Язык: Английский

Процитировано

39