Dynamic Social Media Monitoring for Fast-Evolving Online Discussions

@article{Srikanth2021DynamicSM,
  title={Dynamic Social Media Monitoring for Fast-Evolving Online Discussions},
  author={Maya Srikanth and Anqi Liu and N. Adams-Cohen and Jian Cao and R. Alvarez and Anima Anandkumar},
  journal={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
  year={2021}
}
Tracking and collecting fast-evolving online discussions provides vast data for studying social media usage and its role in people's public lives. However, collecting social media data using a static set of keywords fails to satisfy the growing need to monitor dynamic conversations and to study fast-changing topics. We propose a dynamic keyword search method to maximize the coverage of relevant information in fast-evolving online discussions. The method uses word embedding models to represent… Expand

References

SHOWING 1-10 OF 15 REFERENCES
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates
TLDR
Preliminary results are demonstrated that using the GloVe (Global Vectors for Word Representation) model facilitates the discovery of new and relevant keywords to use for data collection and trolling detection. Expand
Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation
TLDR
A semi-supervised method to obtain high quality event-related tweets from Twitter stream, in terms of precision and recall, by leveraging keyword importance information and a few labeled tweets is proposed. Expand
Identifying Search Keywords for Finding Relevant Social Media Posts
TLDR
A novel technique to help the user identify topical search keywords for real-life application topics to be used for searching relevant tweets from the Twitter API and results show that the proposed method is highly effective. Expand
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign
TLDR
Although an ideologically broad swath of Twitter users were exposed to Russian trolls in the period leading up to the 2016 U.S. Presidential election, it was mainly conservatives who helped amplify their message, revealing that they had a mostly conservative, pro-Trump agenda. Expand
HOW LONG IS A TWEET? MAPPING DYNAMIC CONVERSATION NETWORKS ON TWITTER USING GAWK AND GEPHI
TLDR
This paper documents a methodology for extracting public Twitter activity data around specific #hashtags, and for processing these data in order to analyse and visualize the @reply networks existing between participating users – both overall, as a static network, and over time, to highlight the dynamic structure of @reply conversations. Expand
The Critical Periphery in the Growth of Social Protests
TLDR
This work analyzes three datasets tracking protest communication in different languages and political contexts through the social media platform Twitter and employs a network decomposition technique to examine their hierarchical structure, providing consistent evidence that peripheral participants are critical in increasing the reach of protest messages and generating online content at levels that are comparable to core participants. Expand
IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
TLDR
The empirically show that employing a language model benefits the approach in understanding the context as well as the background of the query article, and a diversity measure is proposed to evaluate the effectiveness of the various approaches in retrieving a diverse set of documents. Expand
Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text
TLDR
A computer-assisted (as opposed to fully automated or human-only) statistical approach that suggests keywords from available text without needing structured data as inputs is developed, which leads to a widely applicable algorithm. Expand
Partisan asymmetries in online political activity
TLDR
In contrast to the online political dynamics of the 2008 campaign, right-leaning Twitter users exhibit greater levels of political activity, a more tightly interconnected social structure, and a communication network topology that facilitates the rapid and broad dissemination of political information. Expand
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series
We connect measures of public opinion measured from polls with sentiment measured from text. We analyze several surveys on consumer confidence and political opinion over the 2008 to 2009 period, andExpand
...
1
2
...