Influence and Passivity in Social Media
D. M. Romero, W. Galuba, S. Asur, and B. A. Huberman (2011)
Paper’s reference in the IEEE style?
D. M. Romero, W. Galuba, S. Asur, and B. A. Huberman, “Influence and Passivity in Social Media,” in Machine Learning and Knowledge Discovery in Databases, 2011, pp. 18–33.
How did you find the paper?
If applicable, write a list of the search terms you used.
- social media extreme opinion freedom
Was the paper peer reviewed? Explain how you found out.
The paper was presented at the WWW 2011 conference in Hyerbad India and it was likely it was peer reviewed1)https://en.wikipedia.org/wiki/International_World_Wide_Web_Conference.
Does the author(s) work in a university or a government-funded research institute? If so, which university or research institute? If not, where do they work?
The authors work either in a University or in research labs of large companies
What does this tell you about their expertise? Are they an expert in the topic area?
The authors are likely experts in their fields.
What was the paper about?
To achieve influence on social media, a content producer's posts need to be both popular and interesting, and must also overcome the reader's passivity to share.
On social media platforms, there is so much content that in order to compete with the finite amount of reader attention, content needs to be shared in order to break through the bubble of more readers.
Subsequently, the more an content producer's content is shared and its attention increases, the more likely it is that they become or are influential. From a reader perspective the passivity, or engagement, of the readers is also key in how much content is shared and subsequently how much influence is achieved.
The authors of the paper state that the influence is a combination of the novelty and resonance of an authors message, and the quality and frequency of the content. While this is true, the reverse is also potentially true, with negative messaging able to be influential.
The paper suggests a model to determine influence based on the passivity of a network as well as other factors and assumes the influence of a user is determined by a combination of the quantity and quality of their audience.
While the model appears to accurately predict the popularity of shared URLs, and therefore the influence of users, there isn't sufficient supporting information discussing whether popular URLs are just more popular generally, therefore more likely to be shared by users who also happen to be influential and more likely to be clicked on because users are more aware of the issue through other media.
If applicable, is this paper similar to other papers you have read for this assignment? If so, which papers and why?
If applicable, is this paper different to other papers you have read for this assignment? If so, which papers and why?
This is the first paper reviewed suggesting a metric to measure social media influence
What do these similarities and differences suggest? What are your observations? Do you have any new ideas? Do you have any conclusions?
Regardless of the veracity of the algorithm proposed, the paper highlights the likelyhood of social media influence being effected no only by the size of the audience but also with their level of engagement. When it comes to the sharing of extremist views on social media, it may be that there is a relatively small group which are highly engaged and which, as a result, have more influence on average than 'normal' users.
This question is to be answered after your critical analysis is completed. Which sections (if any) of your critical analysis was this paper cited in?
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