A Systematic Literature Mapping on Profile Trustworthiness in Fake News Spread

Silva, Fernando Cardoso Durier da; García, Ana Cristina Bicharra; Siqueira, Sean W. M.

doi:10.1109/cscwd54268.2022.9776232

Cited by 6 publications

(2 citation statements)

References 52 publications

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“…Prior research has recommended the role of a Human Specialist Clarifier (HSC) as an expert on specific topics used for fact-checking to combat disinformation (da Silva et al, 2022). However, like other research addressing disinformation, this role takes a reactive approach.…”

Section: Disinformation Management Officermentioning

confidence: 99%

A typology of disinformation intentionality and impact

French,

Storey,

Wallace

2023

Information Systems Journal

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In contemporary society, the increased reliance on social media as a vital news source has facilitated the spread of disinformation that has potential polarising effects. Disinformation, false information deliberately crafted to deceive recipients, has escalated to the extent that it is now acknowledged as a significant cybersecurity concern. To proactively tackle this issue, and minimise the risk of negative outcomes associated with disinformation, this research presents a typology of disinformation intentionality and impact (DII) to understand the intentionality and impact of disinformation threats. The typology draws upon information manipulation theory and risk management principles to evaluate the potential impact of disinformation campaigns with respect to their virality and polarising impact. The intentionality of disinformation spread is related to its believability among susceptible consumers, who are likely to propagate the disinformation to others if they assess it to be believable. Based on the dimensions of intentionality and impact, the DII typology can be used to categorise disinformation threats and identify strategies to mitigate its risk. To illustrate its utility for evaluating the risk posted by disinformation campaigns, the DII typology is applied to a case study. We propose risk mitigation strategies as well as recommendations for addressing disinformation campaigns spread through social media platforms.

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Section: Disinformation Management Officermentioning

confidence: 99%

A typology of disinformation intentionality and impact

French,

Storey,

Wallace

2023

Information Systems Journal

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“…Today's online communities are plagued with an issue caused by fake identities. The biggest reasons for establishing phony accounts are for the purposes of spamming [7,8,9]. Accounts created with malicious intent are geared up and ready to perform cyber-crimes.…”

Section: Introductionmentioning

confidence: 99%

TSMFPMSM: Design of a Temporal Sentiment analysis Model for identification of Fake Profiles from Multimodal Social Media interfaces

BHRUGUMALLA¹,

Mohanty²

2023

Preprint

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The growing number of fake profiles on social media has made it necessary to develop intelligent models for identifying and removing them. This study proposes a novel approach for identifying fake profiles using temporal sentiment analysis. The model collects large datasets from various social media platforms, which are then processed using an ensemble sentiment analysis engine. This produces temporal sentiment patterns, which are used to train a 1D Convolutional Neural Network (1D CNN) for the efficient identification of fake profiles. The model is based on the theory that the data communicated by fake users always converges, and was observed to improve fake-profile detection accuracy by 5.9% with higher precision and recall compared to standard methods. This proposed model can be applied to multimodal social media interfaces.

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