Social media is used to commit and detect crimes. With automated methods, it is possible to scale both crime and detection of crime to a large number of people. The ability of criminals to reach large numbers of people has made this area subject to frequent study, and consequently, there have been several surveys that have reviewed specific crimes committed on social platforms. Until now, there has not been a review article that considers all types of crimes on social media, their similarity as well as their detection. The demonstration of similarity between crimes and their detection methods allows for the transfer of techniques and data between domains. This survey, therefore, seeks to document the crimes that have been committed on socia...
This paper proposes a new approach to determine potential criminals by performing content analysis o...
The presence of crime is one of the major challenges for societies all over the World, especially in...
This paper critically examines the affordances and limitations of big data for the study of crime an...
Social media is used to commit and detect crimes. With automated methods, it is possible to scale bo...
The dramatic rise of social media sites like Facebook, Twitter and YouTube in the last decade have a...
In this research, we show online social networks can be used to study crime detection problems. Crim...
Social networks in any form, specifically online social networks (OSNs), are becoming a part of our ...
This paper describes an approach for detecting the presence or emergence of Organised Crime (OC) si...
Social networks offer vast potential for marketing agencies, as members freely provide private infor...
Nowadays, Online Social Networks (OSNs) has created a breeding ground for criminals to engage in cyb...
This paper describes an approach for detecting the presence or emergence of Organised Crime (OC) sig...
Crime is under-reported. Reporting crime requires the victim to complete a number of administrative ...
In the age of austerity crime is on the increase. The large online presence of the populous is fuel...
In large datasets, data mining is one of the most powerful ways of knowledge extraction or we can sa...
The digital industry has developed substantially from the beginning of the 21st century with new too...
This paper proposes a new approach to determine potential criminals by performing content analysis o...
The presence of crime is one of the major challenges for societies all over the World, especially in...
This paper critically examines the affordances and limitations of big data for the study of crime an...
Social media is used to commit and detect crimes. With automated methods, it is possible to scale bo...
The dramatic rise of social media sites like Facebook, Twitter and YouTube in the last decade have a...
In this research, we show online social networks can be used to study crime detection problems. Crim...
Social networks in any form, specifically online social networks (OSNs), are becoming a part of our ...
This paper describes an approach for detecting the presence or emergence of Organised Crime (OC) si...
Social networks offer vast potential for marketing agencies, as members freely provide private infor...
Nowadays, Online Social Networks (OSNs) has created a breeding ground for criminals to engage in cyb...
This paper describes an approach for detecting the presence or emergence of Organised Crime (OC) sig...
Crime is under-reported. Reporting crime requires the victim to complete a number of administrative ...
In the age of austerity crime is on the increase. The large online presence of the populous is fuel...
In large datasets, data mining is one of the most powerful ways of knowledge extraction or we can sa...
The digital industry has developed substantially from the beginning of the 21st century with new too...
This paper proposes a new approach to determine potential criminals by performing content analysis o...
The presence of crime is one of the major challenges for societies all over the World, especially in...
This paper critically examines the affordances and limitations of big data for the study of crime an...