A Microtext Corpus for Persuasion Detection in Dialog A Microtext Corpus for Persuasion Detection in Dialog
Paper summary This paper presents a microtext corpus derived from hostage negotiation transcripts. This source was chosen for its availability and its density of persuasion: Traditional microtext sources (Twitter, SMS, chat rooms) showed "limited occurrences of directly persuasive attempts". Even the negotiation transcripts showed fewer than 12% persuasive utterances. They definie persuasion as "the ability of one party to convince another party to act or believe in some desired way". Cialdini's persuasion model was used, focusing on: 1. Reciprocity 2. Commitment and Consistency 3. Scarcity 4. Liking 5. Authority 6. Social Proof

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