2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing 2011
DOI: 10.1109/passat/socialcom.2011.21
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The Effect of Post Type, Category and Posting Day on User Interaction Level on Facebook

Abstract: Social networks are becoming an additional marketing channel that could be integrated with the traditional ones as a part of the marketing mix. However, traditional advertising techniques are not applicable for the social media platforms, resulting in companies experimenting with many different approaches, thus shaping a successful social media strategies based on their own experiences. To gain a more general understanding, our study analyses the effects of moderator post characteristics, such as post type, ca… Show more

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Cited by 24 publications
(24 citation statements)
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“…However, due to privacy issues, only the Facebook page owner (CPFM) was able to access the Insights details. The available interaction and engagement measures for public Facebook posts are likes, comments, shares, and number of fans, which are widely used by scholars (Cvijikj, Spiegler, & Michahelles, 2011). In this study, the degree of engagement for CPFM's Facebook posts were measured using Equation (1) below:…”
Section: Methodsmentioning
confidence: 99%
“…However, due to privacy issues, only the Facebook page owner (CPFM) was able to access the Insights details. The available interaction and engagement measures for public Facebook posts are likes, comments, shares, and number of fans, which are widely used by scholars (Cvijikj, Spiegler, & Michahelles, 2011). In this study, the degree of engagement for CPFM's Facebook posts were measured using Equation (1) below:…”
Section: Methodsmentioning
confidence: 99%
“…In other words, it counts the number of likes that a post gets after it is created. The posts belonging to influential users and containing valuable information are likely to get more likes than the other posts, and users on Facebook use like button for highlighting the post among the other posts [9]. Therefore, like count information may be important in defining the estimate signal θ in Facebook CTN.…”
Section: A User Actions In Facebook Ctnmentioning
confidence: 99%
“…When the global information sources were not available for information retrieval, people followed the course of events by following users' posts in OSNs. Furthermore, fast information spreading capability of OSNs has provided firms to market their products through Online Marketing strategies [9]. The strategies include maintaining a product page in an OSN, in which they share advertorial information about the product, and the users share their opinions about the product.…”
Section: Introductionmentioning
confidence: 99%
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“…The popularity of social media has motivated researchers to seek strategies for a more successful online campaign. Some approaches consider individual factors in vacuo , like post time, media type, content, and title when developing an understanding of what drives post effectiveness (Cvijikj, Spiegler, & Michahelles, ; Lakkaraju, McAuley, & Leskovec, ). While intuitive, such an approach cannot scale into a framework without considering the interdependencies between various factors.…”
Section: Related Workmentioning
confidence: 99%