Credibility in social media: opinions, news, and health information—a survey
In the Social Web scenario, where large amounts of User Generated Content diffuse through
Social Media, the risk of running into misinformation is not negligible. For this reason …
Social Media, the risk of running into misinformation is not negligible. For this reason …
[KIRJA][B] Retooling politics: How digital media are sha** democracy
Donald Trump, the Arab Spring, Brexit: digital media have provided political actors and
citizens with new tools to engage in politics. These tools are now routinely used by activists …
citizens with new tools to engage in politics. These tools are now routinely used by activists …
Credibility in online social networks: A survey
The importance of information credibility in society cannot be underestimated given that it is
at the heart of all decision-making. Generally, more information is better; however, knowing …
at the heart of all decision-making. Generally, more information is better; however, knowing …
[KIRJA][B] Social sensing: building reliable systems on unreliable data
Increasingly, human beings are sensors engaging directly with the mobile Internet.
Individuals can now share real-time experiences at an unprecedented scale. Social …
Individuals can now share real-time experiences at an unprecedented scale. Social …
Deception detection and rumor debunking for social media
VL Rubin - The SAGE handbook of social media research …, 2017 - books.google.com
The goal of this chapter is to introduce readers to automated deception detection research,
with a cursory look at the roots of the field in pre-social media data types. My intent is to draw …
with a cursory look at the roots of the field in pre-social media data types. My intent is to draw …
EFND: A semantic, visual, and socially augmented deep framework for extreme fake news detection
Due to the exponential increase in internet and social media users, fake news travels
rapidly, and no one is immune to its adverse effects. Various machine learning approaches …
rapidly, and no one is immune to its adverse effects. Various machine learning approaches …
[HTML][HTML] Understanding and predicting web content credibility using the content credibility corpus
The goal of our research is to create a predictive model of Web content credibility
evaluations, based on human evaluations. The model has to be based on a comprehensive …
evaluations, based on human evaluations. The model has to be based on a comprehensive …
A review on credibility perception of online information
SM Shariff - 2020 14th international conference on ubiquitous …, 2020 - ieeexplore.ieee.org
Credibility generally regards one's belief in the truth due to an initial impression of a subject.
Different types of credibility assessment are taken into account by online readers as a …
Different types of credibility assessment are taken into account by online readers as a …
CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor
B Abu-Salih, P Wongthongtham… - Journal of …, 2019 - journals.sagepub.com
The widespread use of big social data has influenced the research community in several
significant ways. In particular, the notion of social trust has attracted a great deal of attention …
significant ways. In particular, the notion of social trust has attracted a great deal of attention …
Identifying the social signals that drive online discussions: A case study of reddit communities
Increasingly people form opinions based on information they consume on online social
media. As a result, it is crucial to understand what type of content attracts people's attention …
media. As a result, it is crucial to understand what type of content attracts people's attention …