Total Recall: How the E-memory Revolution Will Change Everything; DELETE: The Virtue of Forgetting in the Digital Age
By Jean-François Blanchette. J. Assoc. Inf. Sci. Technol., 2010
573 citations recorded by the source corpus.
Subfields: Conservation, Museology
View Paper: https://www.semanticscholar.org/paper/51dc17f39e68fdfa8f1691ee2611d8388b6b22fc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Conservation
- Reza Karimi
- Enrique Herrera-Viedma
- Linh Dang-Xuan
- Antonio Gabriel López-Herrera
- Manuel Jesus Cobo
- Anders Larsson
- Mohamed M. Mostafa
- Jeroen Baas
In Museology
- Reza Karimi
- Enrique Herrera-Viedma
- Linh Dang-Xuan
- Antonio Gabriel López-Herrera
- Manuel Jesus Cobo
- Anders Larsson
- Mohamed M. Mostafa
- Jeroen Baas
Citations in the corpus
- More than words: Social networks' text mining for consumer brand sentiments (2013, background): “Golbeck, Grimes, and Rogers (2010) also used SA to classify 6000 political tweets by US Congress’ members.”
- Science mapping software tools: Review, analysis, and cooperative study among tools (2011, methodology): “Finally, geospatial analysis (Batty, 2003; Leydesdorff & Persson, 2010; Small & Garfield, 1985) aims to answer the question of where something happens and with what impact on neighbouring areas.”
- Automatic Identification and Classification of Misogynistic Language on Twitter (2018, unknown): “Linguistic: misogyny category classification is a kind of stylistic classification, which might be improved by the use of quantitative features [1,5].”
- Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies (2020, methodology): “…performed using Scopus data is around network visualization and spatial bibliometrics (Bornmann & De Moya Anegón, 2019; Bornmann & Waltman, 2011; Leydesdorff & Persson, 2010; Mutz, Bornmann, de Moya Anegón, & Stefaner, 2014) as well as research building new visualization techniques…”
- Over-optimization of academic publishing metrics: observing Goodhart’s Law in action (2018, unknown): “However, not all citations are equal [33].”
- Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior (2012, unknown): “[14] focused on the U.”
- Social media and political communication: a social media analytics framework (2012, background): “Social media analytics has become increasingly relevant not only for political institutions and government sector (e.g., Kavanaugh et al. 2011; Paris and Wan 2011; Stieglitz et al. 2012) but also in the context of business and marketing (e.g., Gruhl et al. 2010; Larson and Watson 2011).”
- Studying political microblogging: Twitter users in the 2010 Swedish election campaign (2012, background): “While microblogging in general has evolved towards becoming ‘more conversational and collaborative’ (Honeycutt and Herring, 2009: 10), Golbeck et al. (2010) found such use to be limited among the politicians.”