ControversyDetection

Main Reference: " Quantifying Controversy on Social Media "

Articles

Papers that Have been read until now:

• Community Interaciton and Conflict on the Web (Behdad)
• Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship (Mehrdad)
• A Long-Term Analysis of Polarization on Twitter (Mehrdad)
• Reducing Controversy by Connecting Opposing Views (Behdad)
• Network Structure and Community Evolution on Twitter: Human Behavior Change in Response to the 2011 Japanese Earthquake and Tsunami (Mehrdad)
• The Bursty Dynamics of the Twitter Information Network (Behdad)
• Quantifying Polarization on Twitter: The Kavanaugh Nomination (Mehrdad)
• Content and Network Dynamics Behind Egyptian Political Polarization on Twitter (Behdad)
• Analyzing Polarization of Social Media Users and News Sites during Political Campaigns (Mehrdad)
• Stance Evolution and Twitter Interactions in an Italian Political Debate (Behdad)
• Current State of Text Sentiment Analysis from Opinion to Emotion Mining(Behdad, Mehrdad)
• Vocabulary-based Method for Quantifying Controversy in Social Media(Behdad)
• Aggregate Characterization of User Behavior in Twitter and Analysis of the Retweet Graph(Mehrdad)
• Annotating Agreement and Disagreement in Threaded Discussion (Behdad)
• I Couldn’t Agree More: The Role of Conversational Structure in Agreement and Disagreement Detection in Online Discussions(Mehrdad)

Papers that would be read:

Resources

• sentiment module
• Agreement/Disagreement Datasets

Tasks

Task that would be done:

• Report degree distribution and other structure measures in reply, mention and retweet graph dynamically and report this on two part of the polarized network(Behdad)
• Report plorization measures on mention and reply graph(Mehrdad)

Questions to be answered:

Future Ideas:

in progressing ideas for polarization quantifying:

• Prediction Controversy
• Heterogeneous Analysis
• Sentiment Analysis on Users(add sentiment to weight of edges in mention graph)
• Graph Prediction
• Clustering Coeffient analysis on retweet graph
• Training model on user's tweets in two partitions
• infulence of news on sentiment dynamic analysis

Conferences

• Complex Networks (submission deadline: 02/september = 12/shahrivar)
• SNAMS- Social Networks Analysis, Management and Security (submission deadline: 10/july = 20/tir)
• SocInfo- Social Informatics (abstrcat submission deadline: 31/July = 10/Mordad, paper deadline: 7/August = 17/Mordad)
• ICWSM(AAAI)- Web and Social Media 2021 (submission deadline: 15/september = 25/shahrivar)