research-article

Data Quality Challenges in Social Spam Research

Authors:

Nour El-Mawass,

Saad AlaboodiAuthors Info & Claims

Journal of Data and Information Quality (JDIQ), Volume 9, Issue 1

Article No.: 4, Pages 1 - 4

https://doi.org/10.1145/3090057

Published: 28 September 2017 Publication History

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Shahzad ANawi NRehman MKhan A(2021)An Improved Framework for Content- and Link-Based Web-Spam DetectionComplexity10.1155/2021/66257392021Online publication date: 15-Nov-2021
https://dl.acm.org/doi/10.1155/2021/6625739
El-Mawass NHoneine PVercouter L(2020)SimilCatch: Enhanced social spammers detection on Twitter using Markov Random FieldsInformation Processing & Management10.1016/j.ipm.2020.10231757:6(102317)Online publication date: Nov-2020
https://doi.org/10.1016/j.ipm.2020.102317
Alharbi AAljaedi A(2019)Predicting Rogue Content and Arabic Spammers on TwitterFuture Internet10.3390/fi1111022911:11(229)Online publication date: 30-Oct-2019
https://doi.org/10.3390/fi11110229
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Data Quality Challenges in Social Spam Research

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Published In

Journal of Data and Information Quality Volume 9, Issue 1

Research Papers and Challenge Papers

March 2017

73 pages

ISSN:1936-1955

EISSN:1936-1963

DOI:10.1145/3139489

Editor:
Tiziana Catarci
Sapienza University of Rome, Rome, Italy

Issue’s Table of Contents

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2017

Accepted: 01 April 2017

Revised: 01 March 2017

Received: 01 September 2016

Published in JDIQ Volume 9, Issue 1

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Cited By

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Shahzad ANawi NRehman MKhan A(2021)An Improved Framework for Content- and Link-Based Web-Spam DetectionComplexity10.1155/2021/66257392021Online publication date: 15-Nov-2021
https://dl.acm.org/doi/10.1155/2021/6625739
El-Mawass NHoneine PVercouter L(2020)SimilCatch: Enhanced social spammers detection on Twitter using Markov Random FieldsInformation Processing & Management10.1016/j.ipm.2020.10231757:6(102317)Online publication date: Nov-2020
https://doi.org/10.1016/j.ipm.2020.102317
Alharbi AAljaedi A(2019)Predicting Rogue Content and Arabic Spammers on TwitterFuture Internet10.3390/fi1111022911:11(229)Online publication date: 30-Oct-2019
https://doi.org/10.3390/fi11110229
El-Mawass NHoneine PVercouter L(2018)Supervised Classification of Social Spammers using a Similarity-based Markov Random Field ApproachProceedings of the 5th Multidisciplinary International Social Networks Conference10.1145/3227696.3227712(1-8)Online publication date: 16-Jul-2018
https://dl.acm.org/doi/10.1145/3227696.3227712

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