Fighting post-truth using natural language processing: A review and open challenges
Post-truth is a term that describes a distorting phenomenon that aims to manipulate public
opinion and behavior. One of its key engines is the spread of Fake News. Nowadays most …
opinion and behavior. One of its key engines is the spread of Fake News. Nowadays most …
Fake news detection based on news content and social contexts: a transformer-based approach
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
User trustworthiness in online social networks: A systematic review
M Alkhamees, S Alsaleem, M Al-Qurishi… - Applied Soft …, 2021 - Elsevier
The growing popularity of social networks and their easy acceptance of new users have the
unintended consequence of fostering an environment where anonymous users can act in …
unintended consequence of fostering an environment where anonymous users can act in …
Relational learning analysis of social politics using knowledge graph embedding
Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various …
academia and industry. In fact, incorporating graph technology and the copious of various …
Time-aware domain-based social influence prediction
Online social networks have established virtual platforms enabling people to express their
opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate …
opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate …
An entropy-based method to control COVID-19 rumors in online social networks using opinion leaders
L Jain - Technology in Society, 2022 - Elsevier
In the ongoing COVID-19 pandemic, people spread various COVID-19-related rumors and
hoaxes that negatively influence human civilization through online social networks (OSN) …
hoaxes that negatively influence human civilization through online social networks (OSN) …
Homophobic and hate speech detection using multilingual-bert model on turkish social media
Homophobic expressions are a form of insulting the sexual orientation or personality of
people. Severe psychological traumas may occur in people who are exposed to this type of …
people. Severe psychological traumas may occur in people who are exposed to this type of …
Unlocking social media and user generated content as a data source for knowledge management
The pervasiveness of social media and user-generated content has triggered an
exponential increase in global data. However, due to collection and extraction challenges …
exponential increase in global data. However, due to collection and extraction challenges …
Sensitizing Netizen's behavior through influencer intervention enabled by crowdsourcing–a case of reddit
Social news sites have enabled news identification and its promotion through
crowdsourcing and provided users with the capabilities to discuss topics. Compared to …
crowdsourcing and provided users with the capabilities to discuss topics. Compared to …
Role of sentiment analysis in social media security and analytics
Social media, in recent times, has with eased an explosion of data with so many social
media platforms available to interact and express opinions freely. This has led to easy …
media platforms available to interact and express opinions freely. This has led to easy …