Fake News and Aggregated Credibility

Abstract

The accelerated spread of fake news via the internet and social media such as Facebook and Twitter have created a debate concerning the credibility of sources online. Assessing the credibility of these sources is generally a complex task and cannot solely rely on computer-based algorithms as evaluation still requires human intelligence. The research question guiding this article deals with the conceptualization of a theoretically anchored concept of a participatory and co-creative medium for evaluation of sources online. The concept-driven design research methodology was applied to address the research question, which consisted of seven activities that unify design and theory. The result of this article is a proposed concept that aims to support the assessment of the credibility of sources online using crowdsourcing as an approach for evaluation. The practical implications of the proposed concept could be to constrain the spread of fake news, strengthen online democratic discourse, and potentially improve the quality of online information.

Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society

“…154 [203] COVID-19 and the "Film Your Hospital" conspiracy theory: Social network analysis of Twitter data 155 [204] Fake news and aggregated credibility: Conceptualizing a co-creative medium for evaluation of sources online 156 [205] COVID-19 Information on YouTube: Analysis of Quality and Reliability of Videos in Eleven Widely Spoken Languages across Africa 157 [206] COVID-19: Retransmission of official communications in an emerging pandemic 158 [207] Insights from twitter conversations on lupus and reproductive health: Protocol for a content analysis 159 [208] Temporal and location variations, and link categories for the dissemination of COVID-19-related information on twitter during the SARS-CoV-2 outbreak in Europe: Infoveillance study 160 [209] Inflaming public debate: a methodology to determine origin and characteristics of hate speech about sexual and gender diversity on Twitter 161 [210] How to fight an infodemic: The four pillars of infodemic management 162 [211] Genesis of an emergency public drug information website by the French Society of Pharmacology and Therapeutics during the COVID-19 pandemic 163 [212] YouTube as a source of information on COVID-19: A pandemic of misinformation?…”

Defying easy categorization: Wikipedia as primary, secondary and tertiary resource

“…Wikipedia's definition is one, but this research has provided others: 'when literature is primarily used as a source to locate primary and secondary sources, and does not provide any new information, then it is called as tertiary source'; 14 'the primary function of tertiary source is to aid the searcher of information in the use of primary and secondary sources of information'; 15 'the synthesizing of primary and secondary sources'. 16 There can be little doubt that Wikipedia articles synthesize or summarize primary and secondary sources, and that, theoretically at least, these articles serve as a means of locating those sources.…”

Untitled

“…This behavior led to the affectation of the health system and the mental health of users accessing the internet. In this sense, it is clear that during the pandemic, Facebook was one of the channels for the greatest dissemination and exchange of information (Apuke, & Omar, 2021), (Atehortua, & Patino, 2021), (Radwan, et al, 2021), (De Barcelos, et al, 2021) and (Faraon, et al, 2020).…”