scholarly journals A Word Cloud Model based on Hate Speech in an Online Social Media Environment

2021 ◽  
Vol 18 (2(Suppl.)) ◽  
pp. 0937
Author(s):  
Valentina Ibrahim ◽  
Juhaid Abu Bakar ◽  
Nor Hazlyna Harun ◽  
Alaa Fareed Abdulateef

Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to develop a word cloud model based on hateful words on online social media environment such as Google News. Several steps are involved including data acquisition and pre-processing, feature extraction, model development, visualization and viewing of word cloud model result. The results present an image in a series of text describing the top words. This model can be considered as a simple way to exchange high-level information without overloading the user's details.

2014 ◽  
pp. 1128-1152
Author(s):  
Ashish Kumar ◽  
Ram Bezawada

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.


2015 ◽  
pp. 1567-1591
Author(s):  
Ashish Kumar ◽  
Ram Bezawada

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.


2015 ◽  
pp. 1670-1694
Author(s):  
Ashish Kumar ◽  
Ram Bezawada

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.


2017 ◽  
pp. 1335-1359
Author(s):  
Ratko Orlandic

This chapter addresses the problem of architecting display ad networks for online social media. The basic question behind this work is: Can display advertising in social media be effective while providing rigorous privacy guarantees? The chapter exposes the problems that display advertising faces in social media, introduces a display ad-network architecture organized around the goals of effectiveness and privacy enforcement, and describes a type of social media for which the architecture is ideally suited. To deliver high effectiveness in a social media environment, the ad network must function as an embedded component of the environment with ambient intelligence. Moreover, the architecture must constrain data and mechanisms in order to deliver rigorous privacy guarantees as a baseline and an additional set of choices to enforce even stricter views on privacy. Ambient social media sites, described later in the chapter, are the most appropriate form of social media for the proposed architecture.


2020 ◽  
Vol 17 (167) ◽  
pp. 20200020
Author(s):  
Michele Coscia ◽  
Luca Rossi

Many people view news on social media, yet the production of news items online has come under fire because of the common spreading of misinformation. Social media platforms police their content in various ways. Primarily they rely on crowdsourced ‘flags’: users signal to the platform that a specific news item might be misleading and, if they raise enough of them, the item will be fact-checked. However, real-world data show that the most flagged news sources are also the most popular and—supposedly—reliable ones. In this paper, we show that this phenomenon can be explained by the unreasonable assumptions that current content policing strategies make about how the online social media environment is shaped. The most realistic assumption is that confirmation bias will prevent a user from flagging a news item if they share the same political bias as the news source producing it. We show, via agent-based simulations, that a model reproducing our current understanding of the social media environment will necessarily result in the most neutral and accurate sources receiving most flags.


2019 ◽  
pp. 174387211988012 ◽  
Author(s):  
Anne Wagner ◽  
Sarah Marusek

The legitimacy of public memory and socially normative standards of civility is questioned through rumors that abound on online social media platforms. On the Net, the proclivity of rumors is particularly prone to acts of bullying and frameworks of hate speech. Legislative attempts to limit rumors operate differently in France and throughout Europe from the United States. This article examines the impact of online rumors, the mob mentality, and the politicization of bullying critics within a cyber culture that operates within the limitations of law.


Author(s):  
Mitta Roja

Abstract: Cyberbullying is a major problem encountered on internet that affects teenagers and also adults. It has lead to mishappenings like suicide and depression. Regulation of content on Social media platorms has become a growing need. The following study uses data from two different forms of cyberbullying, hate speech tweets from Twittter and comments based on personal attacks from Wikipedia forums to build a model based on detection of Cyberbullying in text data using Natural Language Processing and Machine learning. Threemethods for Feature extraction and four classifiers are studied to outline the best approach. For Tweet data the model provides accuracies above 90% and for Wikipedia data it givesaccuracies above 80%. Keywords: Cyberbullying, Hate speech, Personal attacks,Machine learning, Feature extraction, Twitter, Wikipedia


Author(s):  
Ratko Orlandic

This chapter addresses the problem of architecting display ad networks for online social media. The basic question behind this work is: Can display advertising in social media be effective while providing rigorous privacy guarantees? The chapter exposes the problems that display advertising faces in social media, introduces a display ad-network architecture organized around the goals of effectiveness and privacy enforcement, and describes a type of social media for which the architecture is ideally suited. To deliver high effectiveness in a social media environment, the ad network must function as an embedded component of the environment with ambient intelligence. Moreover, the architecture must constrain data and mechanisms in order to deliver rigorous privacy guarantees as a baseline and an additional set of choices to enforce even stricter views on privacy. Ambient social media sites, described later in the chapter, are the most appropriate form of social media for the proposed architecture.


Author(s):  
Ashish Kumar ◽  
Ram Bezawada

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers’ social media participation. Second, the chapter discusses how this participation affects consumers’ behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers’ social media participation and quantifying its impact on their behaviors.


Sign in / Sign up

Export Citation Format

Share Document