Twit4D
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Twit4D
How Twitter serves (or not) social & political changes
Curated by Elie Levasseur
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Can an algorithm be wrong? Twitter Trends, the specter of censorship, and our faith in the algorithms around us by Tarleton Gillespie

Can an algorithm be wrong? Twitter Trends, the specter of censorship, and our faith in the algorithms around us by Tarleton Gillespie | Twit4D | Scoop.it

The interesting question is not whether Twitter is censoring its Trends list. The interesting question is, what do we think the Trends list is, what it represents and how it works, that we can presume to hold it accountable when we think it is “wrong?” What are these algorithms, and what do we want them to be?

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#OccupyWallStreet: origin and spread visualized by Gilad Lotan

#OccupyWallStreet: origin and spread visualized by Gilad Lotan | Twit4D | Scoop.it

Last week we published an analysis on the usage of hashtags around the #OccupyWallStreet movement on Twitter, why some phrases reach Twitter’s trending topics list, while others never do. The crux of the the argument highlighted the outcomes of a purely algorithmic mechanism that Twitter uses to generate its trending topics lists.

We’ve all seen an increasing usage of the #Occupy hashtag, splintering into a wide range of sub-movements -> #OccupyBoston, #OccupyVancouver, #OccupySF and many more.

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Arab World: Global Voices Bridges on Twitter by Gilad Lotan

Arab World: Global Voices Bridges on Twitter by Gilad Lotan | Twit4D | Scoop.it
This past year has been eventful to say the least in our merry little Middle East and North Africa region. As a part of our end-of-year coverage we look back at some of the major events we covered during 2011. The following post highlights the role of the Global Voices Online community in spreading information on Twitter during the Tunisian and Egyptian revolutions.

The data that feeds this visualization is taken from “The Revolutions were Tweeted“, an International Journal of Communication article mapping out prominent information flows during the Egyptian and Tunisian revolutions. The study uses two datasets of tweets. The first includes 168,663 tweets posted between January 12 and 19, 2011, containing the keyword ‘#sidibouzid' or ‘tunisia'. The second includes 230,270 tweets posted between January 24 and 29, 2011, containing the keyword ‘egypt' or ‘#jan25′.

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Data Reveals That “Occupying” Twitter Trending Topics is Harder Than it Looks! by Gilad Lotan

Data Reveals That “Occupying” Twitter Trending Topics is Harder Than it Looks! by Gilad Lotan | Twit4D | Scoop.it

While the Occupy Wall Street (OWS) movement has been gaining momentum, growing in terms of visibility, media coverage and sheer numbers of participants, it has had a difficult time “occupying” the Twitter trending topics (TTs) list. #OccupyWallStreet, the movement’s dominant hashtag, has never once hit the New York TTs list. Similarly, #OccupyBoston has trended all across the world, but never in Boston, which only saw the phrases ‘Dewey Sq’ and ‘Dewey Square’ trend.

Some point the blame at Twitter for censoring content, yet what seems to be happening is purely algorithmic.

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