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2019
DOI: 10.24251/hicss.2019.110
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Analyzing Trends and Topics in Internet Governance and Cybersecurity Debates Found in Twelve Years of IGF Transcripts

Abstract: Internet Governance research generates substantial and innovative, interdisciplinary global scholarship. What are key topics and themes in this research area, and how do they relate to cybersecurity? This paper answers these questions by analyzing transcripts from twelve years of the UN Internet Governance Forum (IGF), asking: (1) What key themes, topics, and entities are discussed at IGF? (2) Which issues have remained consistent at IGF, and which have changed? And (3) to what extent is the NIST Cybersecurity… Show more

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Cited by 5 publications
(4 citation statements)
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“…One of the advantages is to be able to work with the full data, rather than using sample selections that can inevitably cause limitations and bias. In addition, the increase in data available on the Internet is accompanied by the development of quantitative and qualitative analysis tools (Cogburn, 2019) capable of exploring not only explicit aspects of the text but also its context, latent dimensions, and semantic aspects (Castelfranchi, 2017). This approach has already been used in studies on communication during health emergencies, such as the Spanish flu (Ewing et al, 2013), severe acute respiratory syndrome (Tian and Stewart, 2005), Zika virus (Wirz et al, 2018), and, more recently, COVID-19 (Liu et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…One of the advantages is to be able to work with the full data, rather than using sample selections that can inevitably cause limitations and bias. In addition, the increase in data available on the Internet is accompanied by the development of quantitative and qualitative analysis tools (Cogburn, 2019) capable of exploring not only explicit aspects of the text but also its context, latent dimensions, and semantic aspects (Castelfranchi, 2017). This approach has already been used in studies on communication during health emergencies, such as the Spanish flu (Ewing et al, 2013), severe acute respiratory syndrome (Tian and Stewart, 2005), Zika virus (Wirz et al, 2018), and, more recently, COVID-19 (Liu et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…assumption that the more often a term occurs in a document, the more it is representative of its content, but this importance needs to be weighed by the number of documents in which it appears (Provalis Research, 2010). According to Cogburn (2019), the calculation allows to identifying words considered more "important" in the corpus. The analysis of the body text corpus was made based on the 100 words with the highest TF-IDF.…”
Section: Methodsmentioning
confidence: 99%
“…This gave us the advantage of working as closely as possible with the full coverage. We used the WordStat software, developed by Provalis Research, which has been used in studies of large textual databases [Al-Rawi, Al-Musalli & Fakida, 2021;Al-Rawi, Grepin et al, 2021;Al-Rawi, Kane & Bizimana, 2021;Aweisi et al, 2021;Al-Zaman & Khan, 2021;Cogburn, 2019;Cogburn, Thomas & Lai, 2020;Massarani & Neves, 2021]. The software allows analyzing qualitative data, in the form of unstructured texts, combining quantitative analysis techniques, natural language processing and data mining [Péladeau, 2021].…”
Section: Analytical Proceduresmentioning
confidence: 99%
“…TFxIDF reduces the weight of words that do not contribute to interpreting possible implicit meanings because they are very frequent and already expected. In this way, the calculation reveals the most "important" terms in the corpus [Cogburn, 2019]. Therefore, whenever we refer to the frequency of a word or phrase, it should emphasize that it is not the absolute frequency (simple counting the number of times a term appears in the corpus), but the weighted frequency.…”
Section: Analytical Proceduresmentioning
confidence: 99%