Do all birds tweet the same?: characterizing twitter around the world

By Bárbara Poblete, Ruth Olimpia Garcia Gavilanes, Marcelo Mendoza, Alejandro Jaimes. 2011

147 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Geography has been linked to the properties of online social networks (Poblete et al., 2011; Scellato et al., 2011), with the likelihood of a social link decreasing with the distance among users, with consequences for information diﬀusion (Volkovich et al., 2012).”
The Twitter of Babel: Mapping World Languages through Microblogging Platforms (2012, background): “For instance, most represented languages have been identified for the Top-10 more active countries [18], languagedependent differences have been pointed out in the user activity related to the posting and conversations patterns [19], and language has been shown to be a strong predictor for the forma”
Twevent: segment-based event detection from tweets (2012, methodology): “In practical, the optimal K value depends on the size of the time window, and requires some expertise knowledge ( e.g., , users from di ﬀ erent regions may be interested in di ﬀ erent topics [15]).”
The Geography and Importance of Localness in Geotagged Social Media (2016, methodology): “, [19,23,36]) has been used heavily for expanding social media VGI datasets beyond just explicitly geotagged social media, which often make up”
What to Expect When the Unexpected Happens: Social Media Communications Across Crises (2015, background): “Language and cultural differences could also be included as explicit crisis dimensions [20, 37], together with temporal factors.”
Confounds and Consequences in Geotagged Twitter Data (2015, methodology): “In particular, we compare two possible techniques for obtaining data: the location field in the user profile (Poblete et al., 2011; Dredze et al., 2013), and the GPS coordinates attached to each message (Cheng et al., 2010; Eisenstein et al., 2010).”
Cultural Dimensions in Twitter: Time, Individualism and Power (2013, background): “Poblete et al. studied more than 4.5 million Twitter users with corresponding reciprocal links and tweets (Poblete et al. 2011).”
A Tale of Cities: Urban Biases in Volunteered Geographic Information (2014, methodology): “…et al.'s use of Foursquare to understand human mobility patterns (2011), Hecht and Gergle's (2010) use of Wikipedia and Flickr to understand geospatial patterns in contributions to UGC communities, and many studies of language use in social media (e.g. Poblete et al. 2011; Hecht et al. 2011 ).”
Twitter as Data (2018, background): “Countries also experience similar changes in their total happiness, though baseline levels vary (Poblete et al., 2011).”