Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
We are (not) anonymous: Essays on anonymity, discrimination and online hate
Stockholm University, Faculty of Social Sciences, Department of Economics.ORCID iD: 0000-0003-1942-552X
2018 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Haters gonna hate? - Anonymity, misogyny and hate against foreigners in online discussions on political topics. A crucial aspect of freedom of expression is anonymity, but anonymity is a contentious matter. It enables individuals to discuss without fear of repercussions, but anonymity can also lead to hateful writings threatening other's freedom. In this paper, we predict hateful content as well as estimate the causal link between anonymity and hateful content in civic discussions online. First, we make use of a supervised machine-learning model to predict hate in general, hate against foreigners and hate against females and feminists on a dominating Swedish Internet discussion forum. Second, using a difference-in-difference model we show that an exogenous decrease in anonymity leads to less hateful content in general hate and hate against foreigners, but an increase in hate against females and feminists. The mechanisms behind the changes is a combination of a decrease in writing hateful, as well as a decrease in writing in general and a substitution of hate against one group to another.

Gender grading bias at Stockholm University: quasi-experimental evidence from an anonymous grading reform. In this paper, we first present novel evidence of grading bias against women at the university level. This is in contrast to previous results at the secondary education level. Contrary to the gender composition at lower levels of education in Sweden, the teachers and graders at the university level are predominantly male. Thus, an in-group bias mechanism could consistently explain the evidence from both the university and secondary education level. However, we find that in-group bias can only explain approximately 20 percent of the total grading bias effect at the university level.

Anticipation Effects of a Board Room Gender Quota Law: Evidence from a Credible Threat in Sweden. Board room quota laws have recently received an increasing amount of attention. However, laws are typically anticipated and firms can react before the effective date. This paper provides new results on female board participation and firm performance in Sweden due to a credible threat of a quota law enacted by the Swedish deputy prime minister. The threat caused a substantial and rapid increase in the share of female board members in firms listed on the Stockholm stock exchange. This increase was accompanied by an increase in different measures of firm performance in the same years, which were related to higher sales and lower labor costs. The results highlight that anticipatory effects of a law could be detrimental to the analysis.

Differences in prison sentencing between the genders and immigration background in Sweden: discrepancies and possible explanations. I use data on punished drunk drivers to document differences in sentencing for the same crime between immigrants and native born and males and females respectively. Differences in past criminal activity or other individual observables can not explain the difference in sentencing. Instead, the difference between immigrants and native born seem to be due to statistical discrimination, while differences in recidivism rates might explain the gender difference. However, the higher incarceration rate for immigrants does not reduce their future number of crimes.

Place, publisher, year, edition, pages
Stockholm: Department of Economics, Stockholm University , 2018. , p. 183
Series
Dissertations in Economics, ISSN 1404-3491 ; 2018:6
Keywords [en]
Anonymity, Discrimination, Hate, Applied Econometrics, Gender Economics, Labor Economics, Political Economics, Behavioral Economics
National Category
Economics
Research subject
Economics
Identifiers
URN: urn:nbn:se:su:diva-160745ISBN: 978-91-7797-508-3 (print)ISBN: 978-91-7797-509-0 (electronic)OAI: oai:DiVA.org:su-160745DiVA, id: diva2:1255616
Public defence
2018-11-30, William-Olssonsalen, Geovetenskapens hus, Svante Arrhenius väg 14, Stockholm, 09:00 (English)
Opponent
Supervisors
Available from: 2018-11-07 Created: 2018-10-13 Last updated: 2018-11-07Bibliographically approved

Open Access in DiVA

We are (not) anonymous(2446 kB)164 downloads
File information
File name FULLTEXT02.pdfFile size 2446 kBChecksum SHA-512
080136bf4dd68d386299e127487dbdd736c8de1b7a44ca90a931dd069817120f24457ef7b46e23aa2886ab3eb358a5d76d92af4311f7cb2970e0de6a5a1370fd
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Jansson, Joakim
By organisation
Department of Economics
Economics

Search outside of DiVA

GoogleGoogle Scholar
Total: 166 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 5749 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf