Computer Science - Computation and Language Computer Science - Social and Information Networks
With the growth of social media usage, social activists try to leverage this
platform to raise the awareness related to a social issue and engage the public
worldwide. The broad use of social media platforms in recent years, made it
easier for the people to stay up-to-date on the news related to regional and
worldwide events. While social media, namely Twitter, assists social movements
to connect with more people and mobilize the movement, traditional media such
as news articles help in spreading the news related to the events in a broader
aspect. In this study, we analyze linguistic features and cues, such as
individualism vs. pluralism, sentiment and emotion to examine the relationship
between the medium and discourse over time. We conduct this work in a specific
application context, the "Black Lives Matter" (BLM) movement, and compare
discussions related to this event in social media vs. news articles.
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Title
Using Linguistic Cues for Analyzing Social Movements