Detection and resolution of rumours in social media: A survey
Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …
A review on rumour prediction and veracity assessment in online social network
D Varshney, DK Vishwakarma - Expert Systems with Applications, 2021 - Elsevier
In the present era, the social network is used as an important medium for sharing thoughts
and opinions of an individual. The main reason behind this is, it provides a fast-spreading of …
and opinions of an individual. The main reason behind this is, it provides a fast-spreading of …
Analysing how people orient to and spread rumours in social media by looking at conversational threads
As breaking news unfolds people increasingly rely on social media to stay abreast of the
latest updates. The use of social media in such situations comes with the caveat that new …
latest updates. The use of social media in such situations comes with the caveat that new …
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Media is full of false claims. Even Oxford Dictionaries named" post-truth" as the word of
2016. This makes it more important than ever to build systems that can identify the veracity of …
2016. This makes it more important than ever to build systems that can identify the veracity of …
Exploiting context for rumour detection in social media
Tools that are able to detect unverified information posted on social media during a news
event can help to avoid the spread of rumours that turn out to be false. In this paper we …
event can help to avoid the spread of rumours that turn out to be false. In this paper we …
Learning reporting dynamics during breaking news for rumour detection in social media
Breaking news leads to situations of fast-paced reporting in social media, producing all
kinds of updates related to news stories, albeit with the caveat that some of those early …
kinds of updates related to news stories, albeit with the caveat that some of those early …
Tree lstms with convolution units to predict stance and rumor veracity in social media conversations
Learning from social-media conversations has gained significant attention recently because
of its applications in areas like rumor detection. In this research, we propose a new way to …
of its applications in areas like rumor detection. In this research, we propose a new way to …
Discourse-aware rumour stance classification in social media using sequential classifiers
Rumour stance classification, defined as classifying the stance of specific social media posts
into one of supporting, denying, querying or commenting on an earlier post, is becoming of …
into one of supporting, denying, querying or commenting on an earlier post, is becoming of …
Online misinformation: Challenges and future directions
M Fernandez, H Alani - Companion proceedings of the the web …, 2018 - dl.acm.org
Misinformation has become a common part of our digital media environments and it is
compromising the ability of our societies to form informed opinions. It generates …
compromising the ability of our societies to form informed opinions. It generates …
Nowhere to hide: Online rumor detection based on retweeting graph neural networks
Online rumor detection is crucial for a healthier online environment. Traditional methods
mainly rely on content understanding. However, these contents can be easily adjusted to …
mainly rely on content understanding. However, these contents can be easily adjusted to …