Where should one get news updates: Twitter or Reddit

Priya, Shalini; Sequeira, Ryan; Chandra, Joydeep; Dandapat, Sourav Kumar

doi:10.1016/j.osnem.2018.11.001

Cited by 54 publications

(35 citation statements)

References 15 publications

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“…Priya et al pointed out that Weibo is a better choice for studying the evolution of events. In emergency and disaster situations, the availability and dissemination of updated information on Weibo may be key points [8]. In view of the bad consequences of Weibo rumors, scholars put forward management countermeasures and suggestions [43][44][45].…”

Section: A Weibo Rumormentioning

confidence: 99%

“…And the revenue was 16.9 billion dollars in the past 2020 [7]. As a popular social platform in China, the simplicity and anonymity of Weibo allow original ideas to spread quickly and form trending topics with multiple participants, which provide a means for the spread of rumors [8]. Weibo admit that they have sham and duplicate accounts, fake news and fake likes.…”

Section: Introductionmentioning

confidence: 99%

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Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

2021

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With the rapid development of social media, Weibo rumors have increasingly attracted widespread attention. To maintain sustainable development of network ecology, it is necessary to clarify the evolution law of rumor propagation. First, evolutionary game model is applied to examine the interaction mechanisms of complex behaviors between Weibo rumor makers, Weibo users and governments in accordance with MA-PT (Mental Accounts and Prospect Theory). Next, the replication dynamic equation is used to solve the equilibrium strategy points of each player. It was found that the evolution game does not have a stable equilibrium point. Finally, we conduct empirical simulation to verify the model and primary conclusions. Results demonstrate that, 1) The reference value plays an important role in the strategic choices of players.2) With the high value of psychological satisfaction of "Herding effect", Weibo users choose to repost rumors.3) Increasing the value of punishment, Weibo rumor makers are less likely to adopt the strategy of making rumors. 4) The higher loss of social unrest can encourage governments to adopt strict management strategies to maintain good online order. The results can guide governments to make better decisions in network governance.

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Section: A Weibo Rumormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

2021

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“…Research related to Technology-Organization-Environment and Diffusion of Innovations are the most popular theoretical models for big data [9]. That said, the social network (such as Twitter) is currently the primary means of information sources or communication around the world [11,12]. Clustering the opinion from this big set of data to explore insights about Veganism is a value-creation technique and open to a new opportunity.…”

Section: Literature Reviewmentioning

confidence: 99%

GoVegan: Exploring Motives and Opinions from Tweets

Teh¹,

Yap

2021

Advances in Intelligent Systems and Computing

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This report is suggesting the beneficial effect of clustering micro bloggers tweets from 60 hash tags relating to the issue of Veganism. Going Vegan is a wellknown effect on health. We aimed to analyze tweets coming from casual Twitter users and twitter accounts representing the veganism society and industry. We cluster the group of discourse that coming from 60 and more hashtags. These tags include tweets that have tagged with #plantbaseddiet, #vegan food, #vegetarian, etc. We collected n = 50,634 tweets and analyzed n = 25,639 processed tweets. The result shows that sampled tweets, which includes 1) concerns about animal welfare; 2) sustainability (environment) 3) ways to live a healthier lifestyle (Health), and 4) methods and options for Vegan (recipe). Although with 60 + hash tags, this grouping practice allows decision making processes more manageable. This work not only demonstrates the application of a clustering algorithm to collate micro blogs with different hash tags into groups of similar topics but also shown that it is possible to develop a platform for automatically assembling information on the same subject from a range of different micro blogs. The application can significantly assist others, including academic researchers, or businesses, to quickly and effectively find information and knowledge from these sources. This application is possible for society looking for a healthy life.

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“…it takes fewer replies to collect the required information. But in case of Twitter, obtaining information that resolves a rumour is a more continuous and a longer process (Priya et al, 2019).…”

Section: Domain Separationmentioning

confidence: 99%

“…Reddit, for example, is used for gathering a comprehensive view of opinions from users in a short period of time. On the other hand, an event on Twitter is alive for a longer duration and is used for following the development and evolution of an event (Priya et al, 2019). ⇤…”

Section: Introductionmentioning

confidence: 99%

“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media

Radhakrishnan

Kanakagiri²,

Chakravarthy

et al. 2020

Proceedings of the Sixth Workshop on Noisy User-Generated Text (W-Nut 2020)

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The rise in the usage of social media has placed it in a central position for news dissemination and consumption. This greatly increases the potential for proliferation of rumours and misinformation. In an effort to mitigate the spread of rumours, we tackle the related task of identifying the stance (Support, Deny, Query, Comment) of a social media post. Unlike previous works (Fajcik et al., 2019;Yang et al., 2019), we impose inductive biases that capture platform specific user behavior. These biases, coupled with social media finetuning of BERT allow for better language understanding, thus yielding an F 1 score of 58.7 on the SemEval 2019 task on rumour stance detection.

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Where should one get news updates: Twitter or Reddit

Cited by 54 publications

References 15 publications

Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

Tripartite Evolutionary Game Analysis for Rumor Spreading on Weibo Based on MA-PT

GoVegan: Exploring Motives and Opinions from Tweets

“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media

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