NLP for social media
Now we will discuss how NLP has influenced social media mining. Here we will discuss findings presented in several papers. These findings include detecting rumors from truth and detecting emotions and identifying manipulations of words by politicians, for example, to gain more support (that is, political framing).
Detecting rumors in social media
In Detect Rumors Using Time Series of Social Context Information on Microblogging Websites [20], Jing Ma and others propose a way to detect rumors in microblogs. Rumors are stories or statements that are either deliberately false or for which the truth is not verified. Identifying rumors in their early phases is important to prevent false/invalid information being delivered to people. ...
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