Add to ORKGNational audienceOur objective is to detect abusive messages in online conversations through content- and graph-based methods. Our approach consists in: 1) Exhibiting the importance of structural information in the context of online abuse detection; 2) Combining textual and structural information by proposing fusion methods of both types of information
Social networks sometimes become a medium for threats, insults, and other types of cyberbullying. A ...
Detection of abusive language in user generated online con-tent has become an issue of increasing im...
Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a co...
National audienceOur objective is to detect abusive messages in online conversations through content...
International audienceIn recent years, online social networks have allowed worldwide users to meet a...
International audienceOnline communities have gained considerable importance in recent years due to ...
Although social media has made it easy for people to connect on an unlimited virtual space, it has a...
Figures used in the following articles :"Conversational Networks For Automatic Online Moderation", E...
Abusive language is a growing phenomenon on social media platforms. Its effects can reach beyond the...
The rise of online communication platforms has been accompanied by some undesirable effects, such as...
Online abusive content detection is an inherently difficult task. It has received considerable atten...
International audienceAbusive behaviors are common on online social networks, forcing hosts of such ...
The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive langua...
Language acts as the lynchpin of cohesion maintaining electronic conversations across social network...
Abusive language is a massive problem in online social platforms. Existing abusive language detectio...
Social networks sometimes become a medium for threats, insults, and other types of cyberbullying. A ...
Detection of abusive language in user generated online con-tent has become an issue of increasing im...
Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a co...
National audienceOur objective is to detect abusive messages in online conversations through content...
International audienceIn recent years, online social networks have allowed worldwide users to meet a...
International audienceOnline communities have gained considerable importance in recent years due to ...
Although social media has made it easy for people to connect on an unlimited virtual space, it has a...
Figures used in the following articles :"Conversational Networks For Automatic Online Moderation", E...
Abusive language is a growing phenomenon on social media platforms. Its effects can reach beyond the...
The rise of online communication platforms has been accompanied by some undesirable effects, such as...
Online abusive content detection is an inherently difficult task. It has received considerable atten...
International audienceAbusive behaviors are common on online social networks, forcing hosts of such ...
The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive langua...
Language acts as the lynchpin of cohesion maintaining electronic conversations across social network...
Abusive language is a massive problem in online social platforms. Existing abusive language detectio...
Social networks sometimes become a medium for threats, insults, and other types of cyberbullying. A ...
Detection of abusive language in user generated online con-tent has become an issue of increasing im...
Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a co...