Truth, Lies, and Trust on the Internet
Truth, Lies, and Trust on the Internet
Blog tells what kind of personality you have: egogram estimation from Japanese weblog
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Personality estimation based on weblog text classification
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Topical anomaly detection from Twitter stream
Proceedings of the 3rd Annual ACM Web Science Conference
Deception detection for the tangled web
ACM SIGCAS Computers and Society
| Hi-index | 0.00 |
This study investigates whether deception in online dating profiles is detectable through a linguistic approach, which assumes that liars nonconsciously produce different word patterns than truth-tellers. We objectively measure deception in online dating profiles and analyze the linguistic composition of the open-ended component of the profile (i.e., "about me" section) using computerized text analysis. Results show that profile deceptions correlate with fewer self-references, increased negations, fewer negative emotion words and fewer overall words used in the textual self-description. Results are discussed in terms of (1) practical implications for detecting deception in online profiles; and (2) theoretical implications regarding the impact of media affordances (i.e., asynchronicity and editability) on the occurrence of linguistic cues to deception.