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Digital Footprints: Envisaging and Analysing Online Behaviour / Giles Oatley; Tom Crick; Mohamed Mostafa

Social Aspects of Cognition and Computing Symposium

Swansea University Author: Crick, Tom

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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first_indexed 2018-08-14T15:01:05Z
last_indexed 2018-10-15T19:17:22Z
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spelling 2018-10-15T14:41:54Z v2 43383 2018-08-14 Digital Footprints: Envisaging and Analysing Online Behaviour Tom Crick Tom Crick true 0000-0001-5196-9389 false 200c66ef0fc55391f736f6e926fb4b99 9971fd6d74987b78a0d7fce128f8c721 z93Ri4T5hwMLTfh+6XG11n2HZhUyFASdV1DFdgIIhKs= 2018-08-14 EDUC 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 contribution 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 of Arts and Humanities School of Education CAAH EDUC None 2018-10-15T14:41:54Z 2018-08-14T15:44:58Z College of Science Computer Science Giles Oatley 1 Tom Crick 0000-0001-5196-9389 2 Mohamed Mostafa 3 0043383-02092018070711.pdf aisb2015_submission7_cameraready.pdf 2018-09-02T07:07:11Z Output 486832 application/pdf AM true Updated Copyright 15/10/2018 2018-09-02T00:00:00 true eng
title Digital Footprints: Envisaging and Analysing Online Behaviour
spellingShingle Digital Footprints: Envisaging and Analysing Online Behaviour
Crick, Tom
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_***_Crick, Tom
author Crick, Tom
author2 Giles Oatley
Tom Crick
Mohamed Mostafa
format Conference contribution
container_title Social Aspects of Cognition and Computing Symposium
publishDate 2015
institution Swansea University
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
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 2015-04-20T06:08:55Z
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