2012
DOI: 10.1080/1369118x.2012.665468
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Social Science Research Methods in Internet Time

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Cited by 181 publications
(97 citation statements)
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References 26 publications
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“…With good reason, each of the editions follows different coding schemes, since the "state of the art" of internet applications develops rapidly (Karpf, 2012;United Nations, 2010, p. 94). Therefore, the underlying indicators change severely in the pooled dataset at hand which covers seven editions from 2002 to 2013.…”
Section: Methodsmentioning
confidence: 99%
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“…With good reason, each of the editions follows different coding schemes, since the "state of the art" of internet applications develops rapidly (Karpf, 2012;United Nations, 2010, p. 94). Therefore, the underlying indicators change severely in the pooled dataset at hand which covers seven editions from 2002 to 2013.…”
Section: Methodsmentioning
confidence: 99%
“…3 The ambiguous results are related to changes over time, which remain unconsidered by cross-sectional studies (cf. Karpf, 2012). But the ambiguity can also be traced to the conceptual equivocality that still remains regarding the nexus between regime type and e-government.…”
Section: Regime Typementioning
confidence: 95%
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“…Tüm bu fırsatların yanında, tıpkı sosyal medya öncesinde internet araştırmalarında bahsi geçen zorluklar gibi (Buchanan ve Smith, 1999;Karpf, 2012) sosyal medya araştırmaları da yöntemsel bazı zorlukları içermektedir. Bu yöntemsel zorlukların ve kısıtlamaların temelinde verilerin sabit bir şekilde durmaması, değişken olması ve tam olarak araştırmanın dayandığı popülasyonun bilinememesi yatmaktadır: "(…) çevrimiçi toplanan verilerin bir araya gelerek kümelenmesi hemen fark edilmeyebilir ve gözlemler uzun bir süre devam edebilir" (Jürgens, 2012, 190).…”
Section: Sosyal Medya Araştırmalarında Fırsatlar Ve Zorluklarunclassified
“…When archiving a geotagged Twitter dataset, we are addressing a different target audience, namely computational social scientists as well as other social media researchers; a different type of data, namely geotagged Twitter data; and potentially more diverse methodologies that we need to make allowances for. Not everyone may want to test hypotheses and 'kludginess' of methods is both common and required in internet-based research (Karpf, 2012). We have to consider the needs of the producers and users of the archived dataset, as well as the overall characteristics of this new type of dataset.…”
Section: Current Approaches To Sharing Datasets Collected From Twittermentioning
confidence: 99%