Artificial Intelligence Model to Predict the Virality of Press Articles

Lopez, Yesid L.; Grimaldi, Didier; García, Sebastián Rubio; Ordoez, Jonatan; Carrasco-Farré, Carlos; Aristizabal, Andres A.

doi:10.1145/3529836.3529953

Cited by 1 publication

(1 citation statement)

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“…These technologies include Natural Language Processing (NLP), a subset of A.I. used to analyze natural language [78]. The developers train these NLP algorithms to identify patterns in the language used in promotional content to determine unverifiable or inaccurate information, such as exaggerated or falsified information in sensational headlines [79].…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Fake News in Marketing

Silva¹,

Rosário²,

Gestoso³

et al. 2023

Preprint

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Fake news was conventionally assumed to mean fabricated information published in newspapers and other mass media. It was mostly done to increase the paper's sales and was unlikely to have long-term impacts on society. Fake news in marketing concerns intentionally delivering false or misleading information regarding a product or service to influence consumer behavior. Despite the severity of these impacts, we noted that there is very little scientific research on fake news in marketing and consumer behavior. This systematic literature review (LRSB) aims to bridge this knowledge gap by searching and analysing relevant publications on "fake news in marketing" and synthesising data from 117 relevant studies, providing a framework for marketers and business leaders to reduce the spread and impact of online misinformation. The main highlights identify that the implementation and use of social media, shaping a presence on the internet, diffusion, and consumption of fake news have become a serious challenge and a dominant problem in the marketing sector, especially with the growth of digital marketing. Strategically, fake news spread can be categorized into various types, and the use of these tactics can produce short-term benefits such as increased engagement and instant sales, but they can also have severe long-term costs such as reputational damage, loss of revenues and market share, and discouraged investors and shareholders.

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Section: Artificial Intelligence (Ai)mentioning

confidence: 99%