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barbarafister : internet   24

Online Human-Bot Interactions: Detection, Estimation, and Characterization
Increasing evidence suggests that a growing amount of social
media content is generated by autonomous entities known
as social bots. In this work we present a framework to de-
tect such entities on Twitter. We leverage more than a thou-
sand features extracted from public data and meta-data about
users: friends, tweet content and sentiment, network patterns,
and activity time series. We benchmark the classification
framework by using a publicly available dataset of Twitter
bots. This training data is enriched by a manually annotated
collection of active Twitter users that include both humans
and bots of varying sophistication. Our models yield high ac-
curacy and agreement with each other and can detect bots of
different nature. Our estimates suggest that between 9% and
15% of active Twitter accounts are bots. Characterizing ties
among accounts, we observe that simple bots tend to interact
with bots that exhibit more human-like behaviors. Analysis of
content flows reveals retweet and mention strategies adopted
by bots to interact with different target groups. Using cluster-
ing analysis, we characterize several subclasses of accounts,
including spammers, self promoters, and accounts that post
content from connected applications.
internet  radlib 
march 2017 by barbarafister
Terror Scanning Database For Social Media Raises More Questions than Answers | Motherboard
"Four tech companies may have just signed onto developing a more robust censorship and surveillance system based on a narrative of online radicalization that isn’t well-supported by empirical evidence." Sarah Jeong
censorship  internet  terrorism  tech&society  socialmedia  radlib 
december 2016 by barbarafister
What does a feminist internet look like? | Chitra Nagarajan | Opinion | The Guardian
These three companies [FB, Twitter, Google] are indicative of the sector as a whole. There is a problem with ethnicity as well as gender, particularly when it comes to who runs companies. At Google for example, even though white people make up 57% of those in tech positions and 59% of the company overall, they hold 70% of leadership positions. This is despite women spending more time on social media than men globally – 5.88 hours compared to 4.75 hours – and the history of women in computing and technology. It was women like Ada Loveleace after all who were the pioneers of computer programming and women made up over two-thirds of those working at Bletchley Park during the second world war.
feminism  internet  radlib 
december 2016 by barbarafister

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