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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Combating Misinformation through AI, Government Collaboration, and Accountability Mechanisms: A Global Strategy to Curb Fake News and Enhance Digital Responsibility

A Unified Approach to Strengthening Truth in the Digital Age
Authors: Kallol, Chakrabarti;

Combating Misinformation through AI, Government Collaboration, and Accountability Mechanisms: A Global Strategy to Curb Fake News and Enhance Digital Responsibility

Abstract

In the digital age, misinformation spreads rapidly through social media platforms, causing widespread harm such as panic, riots, and societal unrest [1], [2]. This paper proposes a multifaceted approach to combat fake news by leveraging Artificial Intelligence (AI), government intervention, content creator accountability, and citizen participation [3]. We suggest the creation of a specialized ministry, equipped with AI-driven tools to monitor and verify content on platforms like YouTube and Facebook [4], [5]. The government would incentivize accurate reporting, penalize creators who propagate fake news and work with tech companies to enforce stricter guidelines [6]. Additionally, we explore innovative strategies such as mandatory fact-checking insurance for influencers, AI-based content verification, and global crisis communication portals [7]. Through these mechanisms, we aim to reduce misinformation by 25% globally, create new job opportunities, and foster a responsible digital ecosystem [8].

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average