Using Linguistic Cues for Analyzing Social Movements
This work addresses how different media shape public discourse for social movements, but it is incremental as it applies known methods to a specific case.
The study analyzed linguistic features like individualism vs. pluralism, sentiment, and emotion to examine the relationship between social media (Twitter) and news articles in discourse over time, specifically for the Black Lives Matter movement.
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.