Hashtags Are (Not) Judgemental: The Untold Story of Lok Sabha Elections 2019

@article{Gupta2020HashtagsA,
  title={Hashtags Are (Not) Judgemental: The Untold Story of Lok Sabha Elections 2019},
  author={Saurabh Gupta and Asmit Kumar Singh and Arun Balaji Buduru and Ponnurangam Kumaraguru},
  journal={2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM)},
  year={2020},
  pages={216-220}
}
Hashtags in online social media have become a way for users to build communities around topics, promote opinions, and categorize messages. In the political context, hashtags on Twitter are used by users to campaign for their parties, spread news, or to get followers and get a general idea by following a discussion built around a hashtag. In the past, researchers have studied certain types and specific properties of hashtags by utilizing a lot of data collected around hashtags. In this pa-per… 

Figures and Tables from this paper

Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter

A feature extraction framework which compactly captures potentially insidious interaction patterns on Twitter and uses Hyperbolic Hierarchical Clustering (HypHC) which represents the features in the hyperbolic manifold to further separate communities amongst the users that work to boost the content of particular accounts.

Note: Urbanization and Literacy as factors in Politicians’ Social Media Use in a largely Rural State: Evidence from Uttar Pradesh, India

With Twitter growing as a preferred channel for outreach among major politicians, there have been focused efforts on online communication, even in election campaigns in primarily rural regions. In

Poster: Urbanization and Literacy as factors in Politicians’ Social Media Use in a largely Rural State: Evidence from Uttar Pradesh, India

  • Sociology
  • 2022
With Twitter growing as a preferred channel for outreach among major politicians, there have been focused efforts on online communication even in election campaigns in regions that are primarily

Web Services – ICWS 2020: 27th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18–20, 2020, Proceedings

This paper implements distributed reputation management and enables users to append new reputation evaluations to the transaction that has previously evaluated, and demonstrates that the scheme can defend against existing attacks such as selfish mining attacks, double spending attacks and flash attacks.

References

SHOWING 1-10 OF 47 REFERENCES

Language in Our Time: An Empirical Analysis of Hashtags

This paper performs the first large-scale empirical analysis of hashtags shared on Instagram, the major platform for hashtag-sharing, and proposes a bipartite graph embedding model to summarize users' hashtag profiles, and relies on these profiles to perform friendship prediction.

WHAT THE HASHTAG?

Twitter is the latest social networking tool said to be reshaping politics. Twitter allows subscribers to write a 140-character status update, called a ‘tweet'. This research analyzes the

On Analyzing Hashtags in Twitter

This paper addresses two challenging problems regarding the meaning of hashtags — namely, hashtag relatedness and hashtag classification - and provides two main contributions: a novel graph upon hashtags and (Wikipedia) entities drawn from the tweets by means of topic annotators and two new datasets.

The use of Twitter hashtags in the formation of ad hoc publics

As the use of Twitter has become more commonplace throughout many nations, its role in political discussion has also increased. This has been evident in contexts ranging from general political

What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities

An efficient hybrid approach based on a linear regression for predicting the spread of an idea in a given time frame is presented and it is shown that a combination of content features with temporal and topological features minimizes prediction error.

Quantitative analysis of large amounts of journalistic texts using topic modelling

A case study of the New York Times coverage of nuclear technology from 1945 to the present shows that LDA is a useful tool for analysing trends and patterns in news content in large digital news archives relatively quickly.

A Qualitative Examination of Topical Tweet and Retweet Practices

A clear relationship between sparse/dense retweet patterns and the content and type of a tweet itself is found; suggesting the need to study content properties in link-based diffusion models.

#iranElection: quantifying online activism

a retrospective analysis of the Iran national election protests, the meteoric rise of the Twitter platform as a purported tool of dissidence has become a subject of debate and importance in the

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

A robust methodology for quantifying semantic change is developed by evaluating word embeddings against known historical changes and it is revealed that words that are more polysemous have higher rates of semantic change.

Fetishizing Food in Digital Age: #foodporn Around the World

An overwhelming obsession with chocolate and cake shows the domination of sugary dessert over local cuisines, and encouraging traits in the association of emotion and health-related topics with #foodporn are found, suggesting food can serve as motivation for a healthy lifestyle.