Studying political microblogging: Twitter users in the 2010 Swedish election campaign

By Anders Larsson, Hallvard Moe. New Media & Society, 2012

555 citations recorded by the source corpus.

Subfields: Communication, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/34b5044314492872605cc3a911c9268afd3c246c

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In Communication

In Statistical and Nonlinear Physics

Citations in the corpus

Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior (2013, background): “Other work has focused on the use of twitter by citizens in the political context around the world such as Iran [23], germany [71], Sweden [45], and the united States [18, 74].”
A Bad Workman Blames His Tweets? The Consequences of Citizens’ Uncivil Twitter Use When Interacting with Party Candidates (2016, background): “With few exceptions (Enli and Skogerbø, 2013), most studies in the field report very similar findings (Glassman et al., 2010; Small, 2011; Larsson and Moe, 2011).”
On the Interpretation of Digital Trace Data in Communication and Social Computing Research (2014, background): “Most studies recognize its core function of spreading content to new audiences (Anstead & O’Loughlin, 2011; Elmer, 2012; Highfield et al., 2013; Larsson & Moe, 2012; Meraz & Papacharissi, 2013; Moe, 2012; Small, 2011).”
The Digital Architectures of Social Media: Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election (2018, unknown): “…are single platform studies (Enli, 2017; Filimonov, Russmann, & Svensson, 2016; Freelon, 2017; Golbeck, Grimes, & Rogers, 2010; Graham, Broersma, Hazelhoff, & van’t Haar, 2013; Jürgens & Jungherr, 2015; Kreiss, 2016; Larsson & Moe, 2012; Lev-On & Haleva-Amir, 2018; Vergeer & Hermans, 2013).”
More than words: Social networks' text mining for consumer brand sentiments (2013, background): “Larsson and Moe (2011) investigated Twitters’ emotional polarity during the 2010 Swedish election using around 100,000 tweets dealing with the election.”
Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France (2013, background): “…of direct democracy that may contribute to increased responsiveness and accountability in real-world politics (De Zúñiga et al., 2009; Papacharissi, 2002), others have proposed diverging views strongly criticizing this same idea (Alvarez and Hall, 2011; Hindman, 2009; Larsson and Moe, 2012).”
Anti-Latinx Computational Propaganda in the United States (2019, unknown): “…the content that people post about Latinos during the 2018 midterm elections using analytic techniques similar to those used for examining discourse between politicians and their audiences (Flores-Saviaga, 2018; Howard, Savage, Saviaga, Toxtli, & Monroy-Hernández, 2016; Larsson & Moe, 2012).”
Towards more systematic Twitter analysis: metrics for tweeting activities (2013, unknown): “…communication; it has been studied especially in contexts of political communication (Bruns & Burgess, 2011; Christensen, 2011; Harlow & Harp, 2012; Larsson & Moe, 2011; Lotan, Ananny, Gaffney, & boyd, 2011; Small, 2011; Stieglitz & Dang-Xuan, 2012b), crisis communication (Bruns, Burgess,…”
Twitter data: What do they represent? (2014, background): “Hashtag research provides an opportunity to examine how communities gather and interact around shared topics from politics [4, 20, 21, 38] and brands [19] through crises [10, 25, 33, 36, 37] to entertainment [13, 16, 17], and comparisons of activity patterns across hashtags are also possible, though”