2014
DOI: 10.1007/s11186-014-9216-5
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The cultural environment: measuring culture with big data

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Cited by 243 publications
(208 citation statements)
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References 53 publications
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“…Unfortunately, much of the early analyses of large amounts of naturally occurring and digitized text data were first restricted to experts with the technical expertise to collect and organize it (e.g., computer scientists), resulting in "big" data content analyses that lacked theoretical depth or meaningful focus (35). This paper provides a model that focuses simultaneously on the fine-grained discursive content of texts and at the same time the ways in which these texts are embedded and produced within larger, complex, and densely connected socio-political networks.…”
Section: Discussionmentioning
confidence: 99%
“…Unfortunately, much of the early analyses of large amounts of naturally occurring and digitized text data were first restricted to experts with the technical expertise to collect and organize it (e.g., computer scientists), resulting in "big" data content analyses that lacked theoretical depth or meaningful focus (35). This paper provides a model that focuses simultaneously on the fine-grained discursive content of texts and at the same time the ways in which these texts are embedded and produced within larger, complex, and densely connected socio-political networks.…”
Section: Discussionmentioning
confidence: 99%
“…To arrive at a meaningful volume of text, a relatively large sample (in qualitative research terms), needs to be generated. At the same time, we have little or no contextual data about those who are writing the tweets (Bail, 2014). Most of the conversations we looked at were dialogical rather than involving multiple actors, and many appeared to be between people with an existing relationship.…”
Section: Methodology: Following Feelings Onlinementioning
confidence: 99%
“…The implications of the exponential increase in information production and storage have only just begun to be considered. Bail (2014) notes that, in 2002, the volume of data accumulated in one year was the equivalent to all the data that had been amassed throughout human history to that point. In 2011, the 2002 volume of data was being collected every two days.…”
Section: Archives On the Internetmentioning
confidence: 99%
“…According to Bail (2014), it is important that the social sciences in general recognize the opportunities opened up by access to this big data, but remain clear about the difficulties of operationalizing research when dealing with such a large mass of potential information. The logic of archiving and the means of examining these databanks are crucial to making operational any research that uses big data.…”
Section: Amon Barrosmentioning
confidence: 99%
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