Journal of Promotion Management, Год журнала: 2025, Номер unknown, С. 1 - 28
Опубликована: Янв. 29, 2025
Язык: Английский
Nature Human Behaviour, Год журнала: 2023, Номер 7(6), С. 892 - 903
Опубликована: Март 6, 2023
The extent to which belief in (mis)information reflects lack of knowledge versus a motivation be accurate is unclear. Here, across four experiments (n = 3,364), we motivated US participants by providing financial incentives for correct responses about the veracity true and false political news headlines. Financial improved accuracy reduced partisan bias judgements headlines 30%, primarily increasing perceived from opposing party (d 0.47). Incentivizing people identify that would liked their allies, however, decreased accuracy. Replicating prior work, conservatives were less at discerning than liberals, yet closed gap between liberals 52%. A non-financial intervention was also effective, suggesting motivation-based interventions are scalable. Altogether, these results suggest substantial portion people's motivational factors.
Язык: Английский
Процитировано
70
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
58
PNAS Nexus, Год журнала: 2024, Номер 3(6)
Опубликована: Май 31, 2024
Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of impacts generative AI on (mis)information three information-intensive domains: work, education, healthcare. Our goal is highlight how could worsen inequalities while illuminating may help mitigate pervasive social problems. information domain, can democratize content creation access but dramatically expand production proliferation misinformation. workplace, it boost productivity create new jobs, benefits will likely be distributed unevenly. offers personalized learning, widen digital divide. healthcare, might improve diagnostics accessibility, deepen pre-existing each section, cover specific topic, evaluate research, identify critical gaps, recommend research directions, including explicit trade-offs that complicate derivation priori hypotheses. We conclude with section highlighting role policymaking maximize AI's reduce mitigating its harmful effects. discuss strengths weaknesses policy frameworks in European Union, United States, Kingdom, observing fails fully confront challenges have identified. propose several concrete policies promote shared prosperity through advancement AI. This article emphasizes need for collaborations understand address complex
Язык: Английский
Процитировано
58
Journal of Computational Science, Год журнала: 2023, Номер 71, С. 102061 - 102061
Опубликована: Май 16, 2023
The technological revolution, particularly the availability of more data and powerful computational tools, has led to emergence a new scientific field called "Computational Diplomacy". Our work tries define its scope focuses on popular subarea it, namely "Digital Democracy". In recent years, there been surge interest in using digital technologies promote participatory forms democracy. While are numerous potential benefits tools enhance democracy, significant challenges must be addressed. It is essential ensure that used an accessible, equitable, fair manner rather than reinforcing existing power imbalances. This paper investigates how can help design democratic societies by investigating three key research areas: (1) role for facilitating civic engagement collective decision-making; (2) use improve transparency accountability governance; (3) enable formation inclusive representative democracies. We argue support democracy upgrade needed. Along these lines, we lay out agenda future.
Язык: Английский
Процитировано
50
Scientific Reports, Год журнала: 2023, Номер 13(1)
Опубликована: Апрель 8, 2023
Abstract Misinformation can have a profound detrimental impact on populations’ wellbeing. In this large UK-based online experiment (n = 2430), we assessed the performance of false tag and inoculation interventions in protecting against different forms misinformation (‘variants’). While previous experiments used perception- or intention-based outcome measures, presented participants with real-life posts social media platform simulation measured their engagement, more ecologically valid approach. Our pre-registered mixed-effects models indicated that both reduced engagement misinformation, but was most effective. However, random differences analysis revealed protection conferred by differed across posts. Moderation immunity provided is robust to variation individuals’ cognitive reflection. This study provides novel evidence general effectiveness over tags, platforms’ current Given inoculation’s effect heterogeneity, concert will likely be required for future safeguarding efforts.
Язык: Английский
Процитировано
43
Nature Human Behaviour, Год журнала: 2024, Номер 8(6), С. 1044 - 1052
Опубликована: Май 13, 2024
Язык: Английский
Процитировано
42
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
30
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
Опубликована: Фев. 26, 2025
Humans may have evolved to be "hyperactive agency detectors". Upon hearing a rustle in pile of leaves, it would safer assume that an agent, like lion, hides beneath (even if there ultimately nothing there). Can this evolutionary cognitive mechanism—and related mechanisms anthropomorphism—explain some people's contemporary experience with using chatbots (e.g., ChatGPT, Gemini)? In paper, we sketch how such engender the seemingly irresistible anthropomorphism large language-based chatbots. We then explore implications within educational context. Specifically, argue tendency perceive "mind machine" is double-edged sword for progress: Though can facilitate motivation and learning, also lead students trust—and potentially over-trust—content generated by To sure, do seem recognize LLM-generated content may, at times, inaccurate. argue, however, rise towards will only serve further camouflage these inaccuracies. close considering research turn aiding becoming digitally literate—avoiding pitfalls caused perceiving humanlike mental states
Язык: Английский
Процитировано
2
PNAS Nexus, Год журнала: 2022, Номер 1(4)
Опубликована: Сен. 1, 2022
Abstract Understanding how vaccine hesitancy relates to online behavior is crucial for addressing current and future disease outbreaks. We combined survey data measuring attitudes toward the COVID-19 with Twitter in two studies (N1 = 464 users, N2 1,600 users) preregistered hypotheses examine real-world social media associated United States (US) Kingdom (UK). In Study 1, we found that following accounts of US Republican politicians or hyper-partisan/low-quality news sites were lower confidence vaccine—even when controlling key demographics such as self-reported political ideology education. right-wing influencers (e.g. Candace Owens, Tucker Carlson) had followers lowest vaccine. Network analysis revealed participants who low high separated into distinct communities (or “echo chambers”), centrality more community was US, but not UK. 2, one's likelihood getting retweeting favoriting low-quality websites on Twitter. Altogether, show following, sharing, interacting information online, well within a conservative-leaning US. These results illustrate potential challenges encouraging uptake polarized environment.
Язык: Английский
Процитировано
65