Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
[HTML][HTML] Assessing the methods, tools, and statistical approaches in Google Trends research: systematic review
Background In the era of information overload, are big data analytics the answer to access
and better manage available knowledge? Over the last decade, the use of Web-based data …
and better manage available knowledge? Over the last decade, the use of Web-based data …
A survey on hate speech detection using natural language processing
A Schmidt, M Wiegand - … of the fifth international workshop on …, 2017 - aclanthology.org
This paper presents a survey on hate speech detection. Given the steadily growing body of
social media content, the amount of online hate speech is also increasing. Due to the …
social media content, the amount of online hate speech is also increasing. Due to the …
Cyber hate speech on twitter: An application of machine classification and statistical modeling for policy and decision making
The use of “Big Data” in policy and decision making is a current topic of debate. The 2013
murder of Drummer Lee Rigby in Woolwich, London, UK led to an extensive public reaction …
murder of Drummer Lee Rigby in Woolwich, London, UK led to an extensive public reaction …
Towards an ethical framework for publishing Twitter data in social research: Taking into account users' views, online context and algorithmic estimation
New and emerging forms of data, including posts harvested from social media sites such as
Twitter, have become part of the sociologist's data diet. In particular, some researchers see …
Twitter, have become part of the sociologist's data diet. In particular, some researchers see …
[PDF][PDF] Us and them: identifying cyber hate on Twitter across multiple protected characteristics
Hateful and antagonistic content published and propagated via the World Wide Web has the
potential to cause harm and suffering on an individual basis, and lead to social tension and …
potential to cause harm and suffering on an individual basis, and lead to social tension and …
Hate lingo: A target-based linguistic analysis of hate speech in social media
While social media empowers freedom of expression and individual voices, it also enables
anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we …
anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we …
Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences
Elections are among the most critical events in a national calendar. During elections,
candidates increasingly use social media platforms to engage voters. Using the 2016 US …
candidates increasingly use social media platforms to engage voters. Using the 2016 US …
A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain
The use of blockchain technology leads to improved operations and supply chain (SC)
integration. Moreover, identifying and evaluating the blockchain technology application …
integration. Moreover, identifying and evaluating the blockchain technology application …
Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data
This paper specifies, designs and critically evaluates two tools for the automated
identification of demographic data (age, occupation and social class) from the profile …
identification of demographic data (age, occupation and social class) from the profile …