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From past to present: Spam detection and identifying opinion leaders in social networks

Yıl 2022, Cilt: 40 Sayı: 2, 441 - 463, 06.06.2022

Öz

On microblogging sites, which are gaining more and more users every day, a wide range of ideas are quickly emerging, spreading, and creating interactive environments. In some cases, in Turkey as well as in the rest of the world, it was noticed that events were published on microblogging sites before appearing in visual, audio and printed news sources. Thanks to the rapid flow of information in social networks, it can reach millions of people in seconds. In this context, social media can be seen as one of the most important sources of information affecting public opinion. Since the information in social networks became accessible, research started to be conducted using the information on the social networks. While the studies about spam detection and identification of opinion leaders gained popularity, surveys about these topics began to be published. This study also shows the importance of spam detection and identification of opinion leaders in social networks. It is seen that the data collected from social platforms, especially in recent years, has sourced many state-of-art applications. There are independent surveys that focus on filtering the spam content and detecting influencers on social networks. This survey analyzes both spam detection studies and opinion leader identification and categorizes these studies by their methodologies. As far as we know there is no survey that contains approaches for both spam detection and opinion leader identification in social networks. This survey contains an overview of the past and recent advances in both spam detection and opinion leader identification studies in social networks. Furthermore, readers of this survey have the opportunity of understanding general aspects of different studies about spam detection and opinion leader identification while observing key points and comparisons of these studies.

Kaynakça

  • The article references can be accessed from the .pdf file.
Yıl 2022, Cilt: 40 Sayı: 2, 441 - 463, 06.06.2022

Öz

Kaynakça

  • The article references can be accessed from the .pdf file.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Reviews
Yazarlar

Ayşe Berna Altınel Girgin Bu kişi benim 0000-0001-5544-0925

Gizem Gümüşçekiçci Bu kişi benim 0000-0002-9502-7817

Yayımlanma Tarihi 6 Haziran 2022
Gönderilme Tarihi 17 Kasım 2020
Yayımlandığı Sayı Yıl 2022 Cilt: 40 Sayı: 2

Kaynak Göster

Vancouver Altınel Girgin AB, Gümüşçekiçci G. From past to present: Spam detection and identifying opinion leaders in social networks. SIGMA. 2022;40(2):441-63.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/