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Conference Paper/Proceeding/Abstract 1312 views 164 downloads

Digital Footprints: Envisaging and Analysing Online Behaviour

Giles Oatley, Tom Crick Orcid Logo, Mohamed Mostafa

Social Aspects of Cognition and Computing Symposium

Swansea University Author: Tom Crick Orcid Logo

Abstract

Our long-term research goal is the development of complex (and adaptive) behavioural modelling and profiling using a multitude of online datasets; in this paper we look at suitable tools for use in big social data, specifically here on how to ‘envisage’ this complex information. We present a novel w...

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Published in: Social Aspects of Cognition and Computing Symposium
Published: 2015
Online Access: https://www.cs.kent.ac.uk/events/2015/AISB2015/index.html
URI: https://cronfa.swan.ac.uk/Record/cronfa43383
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spelling 2022-12-18T17:43:56.7243912 v2 43383 2018-08-14 Digital Footprints: Envisaging and Analysing Online Behaviour 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 SOSS Our long-term research goal is the development of complex (and adaptive) behavioural modelling and profiling using a multitude of online datasets; in this paper we look at suitable tools for use in big social data, specifically here on how to ‘envisage’ this complex information. We present a novel way of representing personality traits (using the Five Factor model) with behavioural features (fantasy and profanity). We also present some preliminary ideas around developing a scalable solution to modelling behaviour using swear words. Conference Paper/Proceeding/Abstract Social Aspects of Cognition and Computing Symposium 20 4 2015 2015-04-20 https://www.cs.kent.ac.uk/events/2015/AISB2015/index.html 2015 Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (SSAISB) COLLEGE NANME Social Sciences School COLLEGE CODE SOSS Swansea University 2022-12-18T17:43:56.7243912 2018-08-14T15:44:58.5650586 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 Mohamed Mostafa 3 0043383-02092018070711.pdf aisb2015_submission7_cameraready.pdf 2018-09-02T07:07:11.4970000 Output 486832 application/pdf Accepted Manuscript true 2018-09-02T00:00:00.0000000 true eng
title Digital Footprints: Envisaging and Analysing Online Behaviour
spellingShingle Digital Footprints: Envisaging and Analysing Online Behaviour
Tom Crick
title_short Digital Footprints: Envisaging and Analysing Online Behaviour
title_full Digital Footprints: Envisaging and Analysing Online Behaviour
title_fullStr Digital Footprints: Envisaging and Analysing Online Behaviour
title_full_unstemmed Digital Footprints: Envisaging and Analysing Online Behaviour
title_sort Digital Footprints: Envisaging and Analysing Online Behaviour
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick
author Tom Crick
author2 Giles Oatley
Tom Crick
Mohamed Mostafa
format Conference Paper/Proceeding/Abstract
container_title Social Aspects of Cognition and Computing Symposium
publishDate 2015
institution Swansea University
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
url https://www.cs.kent.ac.uk/events/2015/AISB2015/index.html
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description Our long-term research goal is the development of complex (and adaptive) behavioural modelling and profiling using a multitude of online datasets; in this paper we look at suitable tools for use in big social data, specifically here on how to ‘envisage’ this complex information. We present a novel way of representing personality traits (using the Five Factor model) with behavioural features (fantasy and profanity). We also present some preliminary ideas around developing a scalable solution to modelling behaviour using swear words.
published_date 2015-04-20T04:28:22Z
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score 11.09784

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