För tredje riksdagsvalet i rad har jag haft möjligheten att bidra till Snabbtänkt – snabba reflektioner om de trender och tendenser som spårats av forskare under valen 2018, 2022 och nu 2026. Där jag tidigare år fokuserat på de politiska partiernas användning av Facebook, var det i år dags för mig att se närmare på TikTok. Här kan ni läsa rapporten (min text börjar på sida 115), och här finns också ett kort filmat inslag där jag pratar om de analyser jag presenterar i texten. Som en extra intraskandinavisk bonus finns också min text översatt till norska här.
… och för dom som vill lära sig mer om andra skandinaviska val – eller valg – så har jag tidigare varit delaktig i Valganalyseprojektet som tog sig för liknande snabba analyser av det norska lokalvalet 2023 samt valet till stortinget 2025.
Going negative across platforms and time: Assessing the supply and demand of negative campaigning
This study investigates dynamics of negative campaigning by Norwegian political parties on Facebook, Instagram and Twitter from 2013 to 2024. Analysing 89,791 posts from nine major parties, it uses a novel content analysis approach combining Large Language Models (LLMs) and human annotation to categorize posts as negative, positive or neutral. The findings show an overall rise in negative campaigning across platforms, with significant changes following leadership shifts in the right-wing populist Progress Party (PP). The study examines engagement levels, measured by likes, for different content types. Initially, negative content attracted more engagement on Facebook. This trend, however, decreased over time, while Instagram saw increased engagement with negative content during later years. Twitter users appeared to have rather consistently favoured negative content, reflecting its reputation for incivility. The article enhances understanding of political communication strategies in a high-choice media environment, emphasizing the need to tailor campaign strategies to platform-specific user dynamics.
Bene, Márton; Illés, Gábo, Russmann, Uta; Baranowski, Pawel; Hassler, Jörg; Bos, Linda; Linaa Jensen, Jakob; Kruschinski, Simon; Larsson, Anders Olof; Pospíšil Macková, Alena and Dutceac Segesten, Anamaria (2026). Constructing Representation: Political Actors’ Representative Style on Facebook During European and National Election Campaigns. Paper accepted for presentation at the 76th Annual Conference of the International Communication Association (ICA). 4-8 June, Cape Town, South Africa.
The biannual ECREA conference will take place in Ljubljana this year. The results from the peer review process just came out, and this year I have the pleasure of being involved in two presentations:
Buyens, Willem and Larsson, Anders Olof (2024). Links in the chain: Political parties’ online link sharing during campaign times in Belgium and Sweden. Abstract accepted for the 2024 ECREA conference. Ljubljana, Slovenia, 24-27 September.
Kalsnes, Bente and Larsson, Anders Olof (2024). “Anger is an Energy” – Anger, Love and the sharing of political posts on Facebook in Scandinavian elections. Abstract accepted for the 2024 ECREA conference. Ljubljana, Slovenia, 24-27 September.
… Also, there are two more presentations that I am involved in that are placed on a “waiting list” – given the apparent interest in attending the 2024 ECREA conference, my guess is those waitlisted papers will remain waitlisted. Oh well, win some, lose some.
I’m looking for a (master’s level) student to do scientific assistant work. The interested applicant can be employed to do only step 1 as described below, but there is also the possibility for a student w basic R skills (such as those that you have after the Analyse av digital kommunikasjon 1 class) to go on to work on step 2.
Step 1
Copy links to each individual post made to TikTok by a series of Scandinavian politicians. Essentially, right-clicking on each individual post, copying the URL and pasting the copied URL into a spreadsheet (Excel, google sheets…). Sort of what you are seeing below. Alternatively, some sort of automation routine could be used – like those offered by service like Axiom , Zapier, Integromat, tray.io or Exolyt – to get the URL for each individual video.
Step 2
… requires R knowledge. Specifically, the assistant would archive data from the collected TikTok URLs (as done in step 1) using the traktok R package. The assistant would also be responsible for “tidying” and organising the resulting data sets in order to make them ready for further analysis and export.
Beyond getting insights into the research process, the assistant who opts for both steps will get applied knowledge on how to use state-of-the-art data collection tools. Similarly, if the assistant is interested, s/he could for instance use the resulting data (similar to the Facebook and Instagram data sets we looked at in the Analyse av digital kommunikasjon 1 class in his/her master’s thesis). For both steps, it is important that the interested applicant is thorough, structured and organised.
If you are interested, please send me an email as soon as possible explaining (briefly): why you are interested, if you want to do step 1 or both steps and why you think you are the most suitable person for this job.
Here at the Department of Communication at Kristiania University College in Oslo, Norway, I’m looking for Ph. D. candidates to work on the Scandinavian Political Communication During the Pandemic project. Two fully funded positions are available. In short, we will use social media trace data (from CrowdTangle [Facebook and Instagram] and Twitter) to try and uncover the different ways that various governmental agencies and other political actors communicated to and with the public during the covid 19-pandemic. We might also want to expand the project to other types of data, but these sources will be our main focus.
Given the different approaches of the three Scandinavian countries, we will specifically feature a comparative angle for this project. The ad for the positions is available here. Please note that due to the comparison between the three Scandinavian countries, working knowledge of either Danish, Norwegian or Swedish is necessary. Moreover, given the nature of the project, it is necessary with experience in quantitative social scientific methods. I am thinking here primarily about basic statistics (if you’ve taken a master’s degree in media and communication studies or something similar, you’ve probably had this kind of class). Successful candidates should be able to demonstrate – for instance, via their master’s theses – their skill in using such techniques. Familiarity with software like Tableau, SPSS and/or Jamovi helps, and experience in using programming languages like R or Python is a plus.
Please drop me an email if you have any questions – the deadline for this is on September 15th, and the successful candidates should start their journey towards a Ph.D. no later than December 1st.