Social media evolution of the Egyptian revolution

Choudhary, Alok; Hendrix, William; Lee, Kathy; Palsetia, Diana; Liao, Wei-keng

doi:10.1145/2160718.2160736

Cited by 85 publications

(33 citation statements)

References 1 publication

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“…While valid, such approaches potentially lead to some risks being omitted. For instance, a contextual line can be drawn between social activism that results in a beneficial outcome (e.g., Choudhary et al 2012) and cyber-bullying (commonly associated with teenagers). Within the organizational context, hactivists can engage in bullying tactics to influence organizational action.…”

Section: Limitationsmentioning

confidence: 99%

What could possibly go wrong? A multi-panel Delphi study of organizational social media risk

et al. 2016

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The growth of social media has crossed the boundary from individual to organizational use, bringing with it a set of benefits and risks. To mitigate these risks and ensure the benefits of social media use are realized, organizations have developed a host of new policies, procedures, and hiring practices. However, research to date has yet to provide a comprehensive view on the nature of risk associated with the use of social media by organizations. Using a multi-panel Delphi approach consisting of new entrants to the workforce, certified human resource professionals, and certified Information Technology auditors, this study seeks to understand organizational social media risk. The results of the Delphi panels are compared against a textual analysis of 40 social media policies to provide a comprehensive view of the current state of social media policy development. We conclude with directions for future research that may guide researchers interested in exploring social media risk in organizations.

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Section: Limitationsmentioning

confidence: 99%

What could possibly go wrong? A multi-panel Delphi study of organizational social media risk

et al. 2016

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“…The unsuspecting merchant has little he can do when 40 unruly strangers suddenly run into his shop and run off with all his merchandise'. At the extreme end of the spectrum, social media use was also associated with the Tunisian and Egyptian Revolutions (Lotan et al 2011, Choudhary et al 2012.…”

Section: Tension Monitoring and Social Mediamentioning

confidence: 99%

Policing cyber-neighbourhoods: tension monitoring and social media networks

Williams¹,

Edwards²,

Housley³

et al. 2017

Policing Cybercrime

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“…This is because users not only follow other users for maintaining social links, but also for gaining access to interesting information generated by others [13,15]. For example, Twitter has been often used to share information and sentiments about live events including the 2011 Egypt's revolution [5].…”

Section: Motivationmentioning

confidence: 99%

A Survey of Recommender Systems in Twitter

Kywe

Lim

Zhu

2012

Lecture Notes in Computer Science

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Abstract. Twitter is a social information network where short messages or tweets are shared among a large number of users through a very simple messaging mechanism. With a population of more than 100M users generating more than 300M tweets each day, Twitter users can be easily overwhelmed by the massive amount of information available and the huge number of people they can interact with. To overcome the above information overload problem, recommender systems can be introduced to help users make the appropriate selection. Researchers have began to study recommendation problems in Twitter but their works usually address individual recommendation tasks. There is so far no comprehensive survey for the realm of recommendation in Twitter to categorize the existing works as well as to identify areas that need to be further studied. The paper therefore aims to fill this gap by introducing a taxonomy of recommendation tasks in Twitter, and to use the taxonomy to describe the relevant works in recent years. The paper further presents the datasets and techniques used in these works. Finally, it proposes a few research directions for recommendation tasks in Twitter.

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Social media evolution of the Egyptian revolution

Cited by 85 publications

References 1 publication

What could possibly go wrong? A multi-panel Delphi study of organizational social media risk

What could possibly go wrong? A multi-panel Delphi study of organizational social media risk

Policing cyber-neighbourhoods: tension monitoring and social media networks

A Survey of Recommender Systems in Twitter

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