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Statistical Analysis of Personality and Identity in Chats Using a Keylogging Platform

Published: 12 November 2014 Publication History

Abstract

Interacting via text chats can be considered as a hybrid type of communication, in which textual information delivery follows turn-taking dynamics, resembling spoken interactions. An interesting research question is whether personality can be observed in chats, similarly as happening in face-to-face exchanges. After an encouraging preliminary work on Skype, in this study we have set up our own chat service in which key-logging functionalities have been activated, so that the timings of each key pressing can be measured. Using this framework, we organized semi-structured chats between 50 subjects, whose personality traits have been analyzed through psychometric tests, and a single operator, for a total of 16 hours of conversation. On this data, we have observed that some personality traits are linked with the way we are chatting (measured by stylometric cues), by means of statistically significant correlations and regression studies. Finally, we have assessed that some of the stylometric cues are very discriminative for the recognition of a user in a identification scenario. These facts taken together could underlie that some personality traits drive us in chatting in a particular fashion, which turns out to be very recognizable.

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  • (2023)OCEANS-6 : Character Trait, Age Demographic Analysis and Sexist Speech Detection of Dialogues2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)10.1109/ICRAIE59459.2023.10468349(1-6)Online publication date: 2-Dec-2023
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  • (2020)Linguistic Features to Consider When Applying Persona of the Real Person to the Text-based Agent22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3406324.3410723(1-4)Online publication date: 5-Oct-2020
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  1. Statistical Analysis of Personality and Identity in Chats Using a Keylogging Platform

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    cover image ACM Conferences
    ICMI '14: Proceedings of the 16th International Conference on Multimodal Interaction
    November 2014
    558 pages
    ISBN:9781450328852
    DOI:10.1145/2663204
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 12 November 2014

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    Author Tags

    1. authorship attribution
    2. chat analysis
    3. personality

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    • Autonomous Province of Trento

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    ICMI '14 Paper Acceptance Rate 51 of 127 submissions, 40%;
    Overall Acceptance Rate 453 of 1,080 submissions, 42%

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    View all
    • (2023)OCEANS-6 : Character Trait, Age Demographic Analysis and Sexist Speech Detection of Dialogues2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)10.1109/ICRAIE59459.2023.10468349(1-6)Online publication date: 2-Dec-2023
    • (2022)Context-Aware Querying, Geolocalization, and Rephotography of Historical Newspaper ImagesApplied Sciences10.3390/app12211106312:21(11063)Online publication date: 1-Nov-2022
    • (2020)Linguistic Features to Consider When Applying Persona of the Real Person to the Text-based Agent22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3406324.3410723(1-4)Online publication date: 5-Oct-2020
    • (2020)Online Social Networks and Writing Styles–A Review of the Multidisciplinary LiteratureIEEE Access10.1109/ACCESS.2020.29859168(67024-67046)Online publication date: 2020
    • (2018)SoK: Keylogging Side Channels2018 IEEE Symposium on Security and Privacy (SP)10.1109/SP.2018.00026(211-228)Online publication date: May-2018
    • (2015)Improvements to keystroke-based authentication by adding linguistic context2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)10.1109/BTAS.2015.7358766(1-6)Online publication date: Sep-2015

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