Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions

Computers in Human Behavior, Journal Year: 2022, Volume and Issue: 140, P. 107587 - 107587

Published: Nov. 29, 2022

Language: Английский

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A prosocial fake news intervention with durable effects

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: March 9, 2023

Abstract The present online intervention promoted family-based prosocial values—in terms of helping family members—among young adults to build resistance against fake news. This preregistered randomized controlled trial study is among the first psychological news interventions in Eastern Europe, where free press weak and state-sponsored misinformation runs riot mainstream media. In this intervention, participants were endowed with an expert role requested write a letter their digitally less competent relatives explaining six strategies that help recognition. Compared active control group there was immediate effect ( d = 0.32) persisted until follow-up four weeks later 0.22) on accuracy ratings young, advice-giving participants. also reduced bullshit receptivity both immediately after long run. work demonstrates power using relevant social bonds for motivating behavior change European Our approach its robust grounding human psychology might complement prior fight misinformation.

Language: Английский

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The role of social media literacy in infodemic management: a systematic review

Frontiers in Digital Health, Journal Year: 2024, Volume and Issue: 6

Published: Feb. 14, 2024

Background The term infodemic refers to the proliferation of both accurate and inaccurate information that creates a challenge in identifying trustworthy credible sources. Among strategies employed mitigate impact infodemic, social media literacy has emerged as significant effective approach. This systematic review examines role management infodemic. Methods Six databases, including SID, Magiran, Scopus, PubMed, Google Scholar Web Science were systematically searched using relevant keywords. We included publications between 2012 2023 our analysis. To ensure qualitative assessment studies, we used STROBE AMSTAR checklists evaluation tools. Preferred Reporting Items for Systematic Reviews (PRISMA) guideline was design this study. Finally, organized studies into groups based on similarities retrieved analyzed evidence pertaining challenges opportunities identified. Results Eleven papers study after reviewing studies. Five them examined effect health acceptance behaviors. Four investigated managing misinformation fake news related health. Two focused promoting citizen engagement during crises. showed health-related infodemics are derived from users' lack knowledge, distrust government service systems, local influencers peers, rapid circulation through mass messages, weakness solutions proposed by care providers, failure pay attention needs audience, vertical management, inconsistency published messages. Conclusion findings highlight importance increasing among general public recognized strategy Consequently, it is recommended organizations institutions, such Ministry Health, develop targeted training programs effectively address need.

Language: Английский

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Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0315407 - e0315407

Published: Dec. 19, 2024

Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, attitudes beyond traditional educational settings. These platforms provide access broad range of learning materials, such as tutorials, blogs, forums, interactive content, making more accessible tailored individual interests needs. However, challenges like information overload the spread misinformation highlight importance digital literacy ensuring users can critically evaluate credibility information. Consequently, significance sentiment analysis has grown contemporary times due widespread utilization means for individuals articulate their viewpoints. Twitter (now X) is well recognized prominent platform that predominantly utilized microblogging. Individuals commonly engage expressing viewpoints regarding events, hence presenting significant difficulty scholars categorize associated with expressions effectively. This research study introduces highly effective technique detecting related COVID-19 pandemic. The fake news during pandemic created public health safety because about virus, its transmission, treatments led confusion distrust among public. introduce techniques methodology this work includes gathering dataset comprising fabricated articles sourced from corpus subjected natural language processing (NLP) cycle. After applying some filters, total five machine classifiers three deep were employed forecast articles, distinguishing between those are authentic fabricated. employs classifiers, namely Support Vector Machine, Logistic Regression, K-Nearest Neighbors, Decision Trees, Random Forest, analyze compare obtained results. Convolutional Neural Networks, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) afterwards compares results indicate BiGRU classifier demonstrates high accuracy efficiency, following indicators: 0.91, precision 0.90, recall 0.93, F1-score 0.92. For same algorithm, true negatives, positives came out be 555 580, respectively, whereas, false negatives 81, 68, respectively. In conclusion , highlights effectiveness COVID-19, emphasizing fostering resilience against society. implications higher lifelong learners it potential using advanced help educators institutions process combating promoting critical thinking skills students. By these methods classify develop tools curricula teaching validation, equipping students needed discern context beyond. extrapolate creation society resistant through platforms.

Language: Английский

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Systematic Review of Educational Approaches to Misinformation

Educational Psychology Review, Journal Year: 2025, Volume and Issue: 37(2)

Published: April 23, 2025

Language: Английский

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Enhancing students’ online collaborative PBL learning performance in the context of coauthoring-based technologies: A case of wiki technologies

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(2), P. 2303 - 2328

Published: June 1, 2023

Language: Английский

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Elementary school students’ information literacy: Instructional design and evaluation of a pilot training focused on misinformation

Journal of Media Literacy Education, Journal Year: 2023, Volume and Issue: 15(2), P. 31 - 43

Published: July 1, 2023

Online news literacy training has been so far insufficiently conducted and evaluated, even less with younger consumers. Against the backdrop of online cognitive processing, interventions against misinformation, inquiry-based learning, we designed, conducted, evaluated a pilot 36 elementary school students from Germany. In causal comparison, quantitative data N = 29 attest high participant acceptance substantial effects on participants’ ability to correctly assess credibility, corresponding processing route, moving this intuitive analytic processing. Despite small sample, experiment was only underpowered regarding between-subject effect, whereas power sufficient for all other effects. These encouraging findings may be result knowledge reorganization associated learning. Further educational research practice are needed understand efficacy at scale.

Language: Английский

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The construction of competency training mechanism model for tourism undergraduates based on grounded theory

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(2), P. e0296683 - e0296683

Published: Feb. 29, 2024

The motivation of this paper is to solve the problem tourism majors’ lack theoretical knowledge and professional ability by building a capacity training mechanism model based on grounded theory. goal study optimize strategies undergraduates improve their quality competitiveness. adopts theory, combines with Back Propagation (BP) neural network for optimization evaluation. By comparing performance different mechanisms, explores best provide support guidance undergraduates. Firstly, employment background current market studied analyzed. sorting out relevant documents theory combining majors, students’ personality characteristics basic principles establishing models are integrated. combined data input student re-optimized. undergraduate competency constructed. results show that when number iterations 500.00, evaluation accuracy BP can reach 70.00%. At time, content analysis method only 55.00%. In addition, increase iterations, recognition continuously improved. However, has higher accuracy, even exceeds 78.52% 600. Secondly, through statistics comparison grading students it found overall level more significantly. research important reference value promoting perfection strategies.

Language: Английский

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Individual differences in sharing false political information on social media: Deliberate and accidental sharing, motivations and positive schizotypy

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0304855 - e0304855

Published: June 26, 2024

False political information–misinformation or disinformation—is widely spread on social media. Individual media users play a large part in this. However, only minority actively share false material. It is important to establish what sets these individuals apart from those who do not, and why they it. Motivations for sharing may vary are likely differ between people material unknowingly purpose. In this paper we consider the extent which individual differences personality other variables, motivations sharing, associated with likelihood of information both accidentally deliberately. series four studies ( N s = 614, 563, 627, 113) examined predictors using different methodological approaches. Across studies, key finding was that positive schizotypy measures online were also relevant, reasons ’raising awareness’ appearing particularly important. Implications research practice discussed.

Language: Английский

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Americans’ Perspectives on Online Media Warning Labels

Behavioral Sciences, Journal Year: 2022, Volume and Issue: 12(3), P. 59 - 59

Published: Feb. 23, 2022

Americans are pervasively exposed to social media, news, and online content. Some of this content is designed be deliberately deceptive manipulative. However, it interspersed amongst other from friends family, advertising, legitimate news. Filtering violates key societal values freedom expression inquiry. Taking no action, though, leaves users at the mercy individuals groups who seek use both single articles complex patterns manipulate how consume, act, work, even think. Warning labels, which do not block but instead aid user in making informed consumption decisions, have been proposed as a potential solution dilemma. Ideally, they would respect autonomy determine what media consume while combating intentional deception manipulation through its identification user. This paper considers perception regarding warning labels alert potentially It presents results population representative national study analysis perceptions terms demographics.

Language: Английский

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