August 23, 2024Digital Government Research and PracticeOpen Access

Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy

View Full Paper

Ask AI

Bookmark

Authors

KJKokil JaidkaNational University of Singapore TCTsuhan ChenNational University of Singapore SCSimon ChestermanNational University of Singapore

Discussion

Member takes

Implication

This interdisciplinary analysis examines consumer behavior interactions with misinformation in digital environments, suggesting evidence-based policies for mitigation.

Key Points

Consumer behavior significantly influences interactions with misinformation and disinformation, complicating the digital landscape.
Finding vulnerabilities in the information dissemination process helps in developing adaptive policies to address digital misinformation.
Generative artificial intelligence methods highlight the need for a three-tiered framework to analyze content creation and consumption dynamics across various platforms and contexts now emerging from these technologies as they advance in society and policy making phases to integrate them further in public discourse and media consumption practices today as they gain traction throughout today’s societal issues regarding information literacy and engagement rates around news consumption for this therefore brings greater urgency surrounding misinformation discourse today overall since it drives many online conversations across platforms often leading to confusion and uncertainty about providing factual context for discussions in public realm regarding local community concerns and national issues as misinformation thrives in such environments when individuals are unaware of validation efforts necessary to critically engage with information consumed online from various outlets during discussions where facts and opinions meld together often blurring the lines between truth versus falsehood leading users to feel overwhelmed with lacking information sources available to decipher authenticity in news consumption practices. We propose that evidence-based policies will enhance information integrity while empowering the public to manage challenges stemming from generative artificial intelligence and misinformation infrastructures emerging in media landscapes contrary to what is often theorized amongst trusted sources and narratives ever-present in digital spaces, particularly around news coverage related to ongoing happenings today and controversies surrounding misinformation narratives as they evolve among new generations embraced more openly in light of rapid technological gains over time especially regarding how strategies surrounding misinformation dissemination continue evolving alongside novel approaches invoked through generative AI tools of all kinds especially news aggregation technologies fueling these considerations further amid an age where accessibility is tantamount toward understanding future interventions needed going forward in navigating complexities within this field moving ahead; text remains fluid here since newer entries still appear during evolving trends within public spheres where such tensions also remain unresolved yet ripe for learning opportunities!

Cite This Study

Jaidka et al. (2024) studied this question.

synapsesocial.com/papers/68e5b146b6db64358754af76 https://doi.org/10.1145/3689372

View Full Paper

Ask AI

Bookmark

Implication

This interdisciplinary analysis examines consumer behavior interactions with misinformation in digital environments, suggesting evidence-based policies for mitigation.

Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy

Discussion

Member takes

Implication

Key Points

Cite This Study

Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider