Psycholinguistic Features for Deceptive Role Detection in Werewolf
نویسندگان
چکیده
We tackle the problem of identifying deceptive agents in highly-motivated high-conflict dialogues. We consider the case where we only have textual information. We show the usefulness of psycho-linguistic deception and persuasion features on a small dataset for the game of Werewolf. We analyse the role of syntax and we identify some characteristics of players in deceptive roles.
منابع مشابه
Deception Detection for the Russian Language: Lexical and Syntactic Parameters
The field of automated deception detection in written texts is methodologically challenging. Different linguistic levels (lexics, syntax and semantics) are basically used for different types of English texts to reveal if they are truthful or deceptive. Such parameters as POS tags and POS tags ngrams, punctuation marks, sentiment polarity of words, psycholinguistic features, fragments of syntaсt...
متن کاملTowards Accurate Deceptive Opinion Spam Detection based on Word Order-preserving CNN
As a mainly network of Internet naval activities, the deceptive opinion spam is of great harm. The identification of deceptive opinion spam is of great importance because of the rapid and dramatic development of Internet. The effective distinguish between positive and deceptive opinion plays an important role in maintaining and improving the Internet environment. Deceptive opinion spam is very ...
متن کاملOnline Deception Detection Refueled by Real World Data Collection
The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis to quickly identify highquality deceptive and truthful online reviews1 from Amazon. The dataset contains more than 10,000 deceptive reviews and is diverse in product domains and reviewers. Using this dataset, we explo...
متن کاملClassification of deceptive opinions using a low dimensionality representation
Opinions in social media play such an important role for customers and companies that there is a growing tendency to post fake reviews in order to change purchase decisions and opinions. In this paper we propose the use of different features for a low dimension representation of opinions. We evaluate our proposal incorporating the features to a Support Vector Machines classifier and we use an a...
متن کاملUsing linguistically-defined specific details to detect deception across domains
Current automatic deception detection approaches tend to rely on cues that are based either on specific lexical items or on linguistically abstract features that are not necessarily motivated by the psychology of deception. Notably, while approaches relying on such features can do well when the content domain is similar for training and testing, they suffer when content changes occur. We invest...
متن کامل