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Social Media Forensics for Hate Speech Opinion Mining

by George Wafula Wanjala, Andrew M. Kahonge
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 1
Year of Publication: 2016
Authors: George Wafula Wanjala, Andrew M. Kahonge
10.5120/ijca2016912258

George Wafula Wanjala, Andrew M. Kahonge . Social Media Forensics for Hate Speech Opinion Mining. International Journal of Computer Applications. 155, 1 ( Dec 2016), 39-47. DOI=10.5120/ijca2016912258

@article{ 10.5120/ijca2016912258,
author = { George Wafula Wanjala, Andrew M. Kahonge },
title = { Social Media Forensics for Hate Speech Opinion Mining },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 1 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 39-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number1/26573-2016912258/ },
doi = { 10.5120/ijca2016912258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:09.501902+05:30
%A George Wafula Wanjala
%A Andrew M. Kahonge
%T Social Media Forensics for Hate Speech Opinion Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 1
%P 39-47
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social Media Hate Speech has continued to grow both locally and globally due to the increase of Online Social Media web forums like Facebook, Twitter and blogging. This has been propelled even further by smartphones and mobile data penetration locally. Global and Local terrorism has posed a vital question for technologists to investigate, prosecute, predict and prevent Social Media Hate Speech. This study provides a social media digital forensics tool through the design, development and implementation of a software application. The study will develop an application using Linux Apache MySQL PHP and Python. The application will use Scrapy Python page ranking algorithm to perform web crawling and the data will be placed in a MySQL database for data mining. The application used Agile Software development methodology with twenty websites being the subject of interest. The websites will be the sample size to demonstrate how the application works together with the Python libraries as the framework for web crawling. MySQL data mining, database query application models will be used in performing the search of the lexicon of keywords for hate speech, Inferences from the data mined from crawled web pages will be drawn.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Forums Social Media Linux Apache MySQL PHP Python (LAMP) Hate Speech Opinion Mining Digital Forensics.

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