MODERATING ONLINE DISCUSSION USING GRAPHICAL TEXT ANALYSIS
Embodiments relate to moderating an online discussion. A method for moderating an online discussion between a plurality of participants is provided. The method receives expressions from a participant during an online discussion. The method generates a graph of expressions of the participant. The method performs a graphical text analysis on the graph to determine a likelihood of the participant to have a problematic behavior. The method performs a moderating action responsive to the likelihood exceeding a threshold likelihood.
1 . A computer-implemented method for moderating an online discussion between a plurality of participants, comprising:
receiving, by a computer, expressions from a participant during an online discussion;
generating, by the computer, a graph of expressions of the participant;
performing, by the computer, a graphical text analysis on the graph to determine a likelihood of the participant to have a problematic behavior; and
performing, by the computer, a moderating action responsive to the likelihood exceeding a threshold likelihood.
2 . The method of claim 1 , wherein the performing the graphical text analysis comprises determining a likelihood of the graph to belong to one of a plurality of clusters of previously generated graphs, each cluster representing one or more different problematic behaviors.
3 . The method of claim 1 , wherein the performing the moderating action comprises sending a message to a human moderator of the discussion in order to cause the human moderator to take an appropriate action to influence a course of the discussion.
4 . The method of claim 1 , wherein the performing the moderating action comprises sending a message to the participant or limiting the participant's ability to participate in the discussion.
5 . The method of claim 1 , wherein the online discussion comprises one of a sequence of comments or posted messages in an online bulletin board, a sequence of comments under a post in a social network, a sequence of comments under an online article, a sequence of group emails, a live conversation in an online chat room or in an online video game, and text in systems that allow a participant to upload and download.
6 . The method of claim 1 , further comprising:
combining the graph with another graph for another participant; and
performing a graphical text analysis on the combined graph to increase the likelihood.