A large amount of social media hosted on platforms like Flickr and Instagram is related to social events. The task of social event classification refers to the distinction of event and non-event-related content as well as the classification of event types (e.g. sports events, concerts, etc.). In this paper, we provide an extensive study of textual, visual, as well as multimodal representations ...

In this paper a new method for information hiding in open social networks is introduced. The method, called StegHash, is based on the use of hashtags in various open social networks to connect multimedia files (like images, movies, songs) with embedded hidden messages. The evaluation of the system was performed on two social media services (Twitter and Instagram) with a simple environment as a ...

The search for mechanisms to encourage pro-environmental behavior has ranged from marketing to community events. This study continues the search by exploring how the language and features programmed into mobile social networking applications influence users to experience nature and share those experiences. To guide data analysis, the study uses the social influence network theory and adapts com...

Social media sources are becoming increasingly important in journalism. Under breaking news deadlines semi-automated support for identification and verification of content is critical. We describe a large scale content-level analysis of over 6 million Twitter, You Tube and Instagram records covering the first 6 hours of the November 2015 Paris shootings. We ground our analysis by tracing how 5 ...

Online social networks being extended to geographical space has resulted in large amount of user check-in data. Understanding check-ins can help to build appealing applications, such as location recommendation. In this paper, we propose DeepCity, a feature learning framework based on deep learning, to profile users and locations, with respect to user demographic and location category prediction...

In this work, we developed an automated system to detect potentially illegal elephant ivory items for sale on eBay. Two law enforcement experts, with specific knowledge of elephant ivory identification, manually classified items on sale in the Antiques section of eBay UK over an 8 week period. This set the “Gold Standard” that we aim to emulate using data-mining. We achieved close to 93% accura...

Despite the benefits they derive from social networking sites (SNSs), members of those services are not always satisfied with their online behaviors. The investigation of desires for behavior change in SNSs both provide insight into users’ perceptions of how SNSs impact their lives (positively or negatively) and can inform tools for helping users achieve desired behavior changes. We use a 604-p...

The aim of this article is to outline celebrity selfies as a photographic genre and means of self-expression within celebrity culture. In the theoretical framework, we approach celebrity selfies on three distinct levels. First, the article elaborates on the concept of celebrification in order to set the cultural context for celebrity selfies. The second section discusses the phatic communicativ...

In this study, the issue of using Instagram social network by different groups of Iranian women and their interests and desires in publication of photos is investigated. The purpose of the study is to identify the common aspects and differences in women’s lives reflected in their self-expression efforts based on their social characteristics. Therefore, the women were classified into eight...