Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 30 - 40
Published: Dec. 2, 2024
Language: Английский
SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
We review the burgeoning literature on economics of social media, which has become ubiquitous in modern economy and fundamentally changed how people interact. first define media platforms isolate features that distinguish them from traditional other digital platforms. then synthesize main lessons empirical organize around three stages life cycle user-generated content: (1) production, (2) distribution, (3) consumption. Under we discuss incentives affect content produced off harmful is moderated. network structure, algorithms, targeted advertisements. consumption, affects individuals who consume its society at large, consumer substitution patterns across Throughout review, delve into case studies examining deterrence misinformation, segregation, political advertisements, effects outcomes. conclude with a brief discussion future media.
Language: Английский
Citations
10
Current Opinion in Psychology, Journal Year: 2024, Volume and Issue: 57, P. 101813 - 101813
Published: March 18, 2024
Misinformation undermines trust in the integrity of democratic elections, safety vaccines, and authenticity footage from war zones. Social scientists have proposed many solutions to reduce individuals' demand for fake news, but it is unclear how evaluate them. Efficacy can mean that an intervention increases discernment (the ability distinguish true false content), works over a delay, scales up, engages users. I argue experts should also consider differences exposure prevalence before declaring success. Misleading content makes up small fraction average person's news diet, some groups are at increased risk – conservatives older adults see share most news. Targeting whole population (universal prevention) could concentrate benefits among users who already least misinformation begin with. In complement these approaches, we design interventions people need them (selective prevention), as well shared low-quality (indicated prevention).
Language: Английский
Citations
6
Published: March 19, 2024
False news can manipulate public opinion and undermine the credibility of legitimate newssources. Although many studies have examined sharing false news, there has been nocomprehensive, comparative, computational investigation interventions that reducethis harmful behavior. To do so, we introduce apply Dynamic Semi-Integrative Approach(DSIA). DSIA involves testing multiple interventions, individual- item-level effect modifiers,and choice modeling (drift–diffusion modeling) in a single framework. By applyingDSIA to find warning labels media literacy are particularlyeffective at increasing quality, followed by social norm intervention. Accuracyprompts were least effective. Intervention effects consistent across item-levelcharacteristics, such as age, analytical thinking, political-lean items, suggestingwide applicability. The operated via different decision-making processes, suggestingthat each intervention engages distinct mental processes attenuate sharing. Bydeveloping applying DSIA, provide uniquely detailed insight into newsinterventions, establish promising, scalable approach for future experimentalresearch theory development.
Language: Английский
Citations
2
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
SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
We review the burgeoning literature on economics of social media, which has become ubiquitous in modern economy and fundamentally changed how people interact. first define media platforms isolate features that distinguish them from traditional other digital platforms. then synthesize main lessons empirical organize around three stages life cycle user-generated content: (1) production, (2) distribution, (3) consumption. Under we discuss incentives affect content produced off harmful is moderated. network structure, algorithms, targeted advertisements. consumption, affects individuals who consume its society at large, consumer substitution patterns across Throughout review, delve into case studies examining deterrence misinformation, segregation, political advertisements, effects outcomes. conclude with a brief discussion future media.
Language: Английский
Citations
0
Published: June 23, 2024
Content moderation is a critical aspect of platform governance on social media and particular relevance to addressing the belief in spread misinformation. However, current content practices have been criticized as unjust. This raises an important question – who do Americans want deciding whether online harmfully misleading? We conducted nationally representative conjoint survey experiment (N=3,000) which U.S. participants evaluated legitimacy hypothetical juries tasked with evaluating was misleading. These varied they were described consisting experts (e.g., domain experts), laypeople users), or non-juries computer algorithm). also randomized features jury composition (size, necessary qualifications) engaged discussion during evaluation. Overall, expert more legitimate than layperson algorithm. modifying helped increase perceptions politically balanced enhanced legitimacy, did increased size, individual juror knowledge qualifications, enabling discussion., Maximally comparably panels. Republicans perceived less compared Democrats, but still baseline juries. Conversely, larger lay news qualifications across political spectrum. Our findings shed light foundations procedural implications for design systems.
Language: Английский
Citations
0
Published: Aug. 30, 2024
In polarized societies, divided subgroups of people have different perspectives on a range topics. Aiming to reduce polarization, authorities may use debunking lend support one perspective over another. Debunking by gives all observers shared information, which could disagreement. practice, however, no effect or even contribute further polarization beliefs. We developed cognitively-inspired model observers’ rational inferences from an authority’s debunking. After observing each attempt, simulated simultaneously update their beliefs about the underlying debunked claims and motives, using intuitive causal decision making process. varied prior uncertainty systematically. Simulations generated outcomes, belief convergence (less common) persistent divergence (more common). many simulations, who initially held authority later acquired biases commitment truth. These constrained influence new topics, it possible for spread. discuss implications with respect elections.
Language: Английский
Citations
0
Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 30 - 40
Published: Dec. 2, 2024
Language: Английский
Citations
0