Considering information-sharing motives to reduce misinformation DOI Creative Commons
Laura K. Globig, Tali Sharot

Current Opinion in Psychology, Год журнала: 2024, Номер 59, С. 101852 - 101852

Опубликована: Авг. 3, 2024

Misinformation has risen in recent years, negatively affecting domains ranging from politics to health. To curb the spread of misinformation it is useful consider why, how, and when people decide share information. Here we suggest that information-sharing decisions are value-based choices, which sharers strive maximize rewards minimize losses themselves and/or others. These outcomes can be tangible, form monetary or losses, intangible, social feedback. On media platforms these not clearly tied accuracy information shared. Thus, have little incentive avoid disseminating misinformation. Based on this framework, propose ways nudge prioritize during information-sharing.

Язык: Английский

Post-Truth Kavramı Üzerine Yapılan Çalışmaların VOSviewer ile Bibliyometrik Analizi DOI Creative Commons
Deniz Dirik, İnan Eryılmaz, Tuğba Erhan

и другие.

Sosyal Mucit Academic Review, Год журнала: 2023, Номер 4(2), С. 164 - 188

Опубликована: Июнь 29, 2023

Bu çalışmada, post-truth kavramına dair yapılan çalışmalar özelinde kavramın evriminin ve çalışmaların haritasını çıkarmak hedeflenmiştir. Çalışmada, nicel veriler kapsamında, çağın ruhunu tasvirleyen kilit kavramlardan ya da hakikat ötesine ilişkin mevcut yazının bibliyometrik analiz kullanılarak sistemli bir özetinin araştırmacıların dikkatine sunulması, kavramla ilgili çalışma eğilimlerinin boşlukların tespiti amaçlanmıştır. Analiz birimi olarak Web of Science veri tabanında taranan 2006-2023 yılları arasında yayınlanmış farklı türdeki eserlerin verisi baz alınmıştır. Post-truth ile 1652 eserin yayın yıllarına göre dağılımına bakıldığında, en fazla 2018 (294 eser), 2019 (361 eser) 2020 (341 yıllarında yoğunlaşma olduğu; eser veren isimlerin Lee Mcintyre, Bram Buscher Leonardo Ambasciano türünün ağırlıklı dergi makalesi (1215), editoryal yazı (210) kitap bölümü (134) türünde araştırma alanları açısından iletişim (300), eğitim bilimleri (182), felsefe (151), siyaset bilimi (145) interdisipliner sosyal bilim (108) alanlarında verildiği; yayınların ülkelere dağılımı konusunda liderliğin ABD (318), İngiltere (251) İspanya (164) menşeli yayıncılarda başta İngilizce (1381) olmak üzere İspanyolca (139) Portekizce (39) eserler yayınlandığı; SSCI (647), ESCI (590) AHCI (226) endekslerde ağırlıkta olduğu tespit edilmiştir. yayınlarda sık kullanılan anahtar sözcüklere bakıldığında 563 tekrar (hakikat ötesi), 223 fake news (sahte haber), 106 social media (sosyal medya), 95 science (bilim) 84 truth (hakikat) ifadeleri başı çekmektedir.

Процитировано

53

Misinformation poses a bigger threat to democracy than you might think DOI Creative Commons
Ullrich K. H. Ecker, Jon Roozenbeek, Sander van der Linden

и другие.

Nature, Год журнала: 2024, Номер 630(8015), С. 29 - 32

Опубликована: Июнь 5, 2024

In today's polarized political climate, researchers who combat mistruths have come under attack and been labelled as unelected arbiters of truth. But the fight against misinformation is valid, warranted urgently required.

Язык: Английский

Процитировано

26

Exploring fake news awareness and trust in the age of social media among university student TikTok users DOI Creative Commons
Duong Hoai Lan,

Minh Tung Tran

Cogent Social Sciences, Год журнала: 2024, Номер 10(1)

Опубликована: Янв. 25, 2024

This study explores the awareness of fake news and trust dynamics among University students on TikTok. Utilizing qualitative research through semi-structured interviews with in Vietnam, findings reveal a generally acknowledged presence TikTok, accompanied by varying levels platform's content. Key factors influencing include content creator credibility, user engagement, familiarity creators. Beyond academic implications, this offers practical insights into digital literacy, information consumption habits, susceptibility to university students. The advocates for heightened literacy education, encouraging critical evaluation online content, not only benefiting demographic but contributing broader public awareness.

Язык: Английский

Процитировано

13

A novel approach to fake news classification using LSTM-based deep learning models DOI Creative Commons
Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko

и другие.

Frontiers in Big Data, Год журнала: 2024, Номер 6

Опубликована: Янв. 8, 2024

The rapid dissemination of information has been accompanied by the proliferation fake news, posing significant challenges in discerning authentic news from fabricated narratives. This study addresses urgent need for effective detection mechanisms. spread on digital platforms necessitated development sophisticated tools accurate and classification. Deep learning models, particularly Bi-LSTM attention-based architectures, have shown promise tackling this issue. research utilized integrating an attention mechanism to assess significance different parts input data. models were trained 80% subset data tested remaining 20%, employing comprehensive evaluation metrics including Recall, Precision, F1-Score, Accuracy, Loss. Comparative analysis with existing revealed superior efficacy proposed architectures. model demonstrated remarkable proficiency, outperforming other terms accuracy (97.66%) key metrics. highlighted potential advanced deep techniques detection. set new standards field, offering combating misinformation. Limitations such as dependency, overfitting, language context specificity acknowledged. underscores importance leveraging cutting-edge methodologies, mechanisms, identification. innovative presented pave way more robust solutions counter misinformation, thereby preserving veracity information. Future should focus enhancing diversity, efficiency, applicability across various languages contexts.

Язык: Английский

Процитировано

9

Persistence of Misinformation DOI Creative Commons
Yanmengqian Zhou, Lijiang Shen

Опубликована: Янв. 17, 2025

Misinformation can be broadly defined as information that is inaccurate or false according to the best available evidence, whose validity cannot verified. It created and spread with without clear intent cause harm. There well-documented evidence misinformation persists despite fact-checking presentation of corrective information, often traveling faster deeper than facts in online environment. Drawing on frameworks social judgment theory, cognitive dissonance motivated processing, authors conceptualize a generic type counter-attitudinal message attitude-congruent messages. They then examine persistence through lens biased responses attitude-inconsistent versus -consistent information. Psychological inoculation proposed strategy mitigate misinformation.

Язык: Английский

Процитировано

1

Political dimensions of misinformation, trust, and vaccine confidence in a digital age DOI Open Access
Luisa Enria, Harriet Dwyer, Mark Marchant

и другие.

BMJ, Год журнала: 2024, Номер unknown, С. e079940 - e079940

Опубликована: Июнь 20, 2024

Global health leaders often dismiss politics as antithetical to the aims of public health, but Luisa Enria and colleagues argue that political analysis can offer new ways build trust in vaccination context growing online misinformation

Язык: Английский

Процитировано

7

Why Misinformation Must Not Be Ignored DOI Open Access
Ullrich K. H. Ecker, Li Qian Tay, Jon Roozenbeek

и другие.

Опубликована: Март 4, 2024

Recent academic debate has seen the emergence of claim that misinformation is not a significant problem. We believe arguments used to support this minimizing position are flawed, particularly if interpreted (e.g., by policymakers or public) as suggesting can be safely ignored. Here, we rebut two main claims, namely substantive concern (1) due its low incidence and (2) because it no causal influence on notable political behavioral outcomes. Through critical review current literature, demonstrate prevalence non-negligible reasonably inclusive definitions applied impacts important beliefs behaviors. Both scholars should therefore continue take seriously.

Язык: Английский

Процитировано

6

Misinformation and Algorithmic Bias DOI
Dong‐Hee Shin

Опубликована: Янв. 1, 2024

What happens if the data fed to AI are biased? response of a chatbot spreads misinformation? Unlike many people hope, is as biased humans are. Bias can originate from various venues, including but not limited design and unintended or unanticipated use algorithm algorithmic decisions about way coded, framed, filtered, analyzed train machine learning. Algorithmic bias has been widely seen in advertising, content recommendations, search engine results. prejudice found cases ranging political campaign outcomes proliferation fake news misinformation. It also surfaced health care, education, public service, aggravating existing societal, socioeconomic, biases. These algorithm-induced biases exert negative impacts on range social interactions, privacy infringements solidifying societal gender, race, ethnicity, culture. The significance used training algorithms should be underestimated. Humans play part datafication algorithms, preventing spread misinformation difficult by technology alone, especially considering rate at which information online.

Язык: Английский

Процитировано

5

The Ethical Revolution: Challenges and Reflections in the Face of the Integration of Artificial Intelligence in Digital Journalism DOI Creative Commons
Tania Forja-Pena, Berta García Orosa, Xosé López García

и другие.

Communication & Society, Год журнала: 2024, Номер unknown, С. 237 - 254

Опубликована: Июнь 27, 2024

The artificial intelligence (AI) tools in editorial departments have become common practice within news organisations, which poses challenges for digital journalism. It treads new terrain both media professionals and their audiences, it is safe to assume there no going back the way things were. These advances field require frameworks codes of ethics that include ethical principles mitigate use AI fast incorporation into production processes marked by a tendency towards loss citizens’ trust information offers, political polarization, increasing impact misinformation. This article analyses perception communication this scene through analysis 99 14 international press associations. In addition, audience addressed survey taken nearly 2,000 people. results indicate public journalists are worried about misinformation might cause potential erosion between journalist . Overwhelmingly, people advocating external regulation its preserve values, principles, good practices journalistic work.

Язык: Английский

Процитировано

5

Liars know they are lying: differentiating disinformation from disagreement DOI Creative Commons
Stephan Lewandowsky, Ullrich K. H. Ecker, John Cook

и другие.

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Июль 31, 2024

Abstract Mis- and disinformation pose substantial societal challenges, have thus become the focus of a substantive field research. However, misinformation research has recently come under scrutiny on two fronts. First, political response emerged, claiming that aims to censor conservative voices. Second, some scholars questioned utility altogether, arguing is not sufficiently identifiable or widespread warrant much concern action. Here, we rebut these claims. We contend spread misinformation—and in particular willful disinformation—is demonstrably harmful public health, evidence-informed policymaking, democratic processes. also show outright lies can often be identified differ from good-faith contestation. conclude by showing how at least partially mitigated using variety empirically validated, rights-preserving methods do involve censorship.

Язык: Английский

Процитировано

5