Martin Haselmayer
Martin Haselmayer
University of Vienna, Department of Government
Bestätigte E-Mail-Adresse bei univie.ac.at - Startseite
TitelZitiert vonJahr
Sentiment analysis of political communication: combining a dictionary approach with crowdcoding
M Haselmayer, M Jenny
Quality & quantity 51 (6), 2623-2646, 2017
512017
Partisan bias in message selection: Media gatekeeping of party press releases
M Haselmayer, M Wagner, TM Meyer
Political communication 34 (3), 367-384, 2017
252017
AUTNES manual content analysis of the media overage 2013
JM Eberl, R Vonbun, M Haselmayer, C Jacobi, K Kleinen-von Königslöw, ...
GESIS Data Archive, Cologne, 2016
15*2016
More than bags of words: Sentiment analysis with word embeddings
E Rudkowsky, M Haselmayer, M Wastian, M Jenny, Š Emrich, M Sedlmair
Communication Methods and Measures 12 (2-3), 140-157, 2018
142018
Who gets into the papers? Party campaign messages and the media
TM Meyer, M Haselmayer, M Wagner
British Journal of Political Science, 1-22, 2017
13*2017
Negative Campaigning
M Dolezal, M Haselmayer, D Johann, K Thomas, L Ennser-Jedenastik
Böhlau, 2014
52014
Fighting for attention: Media coverage of negative campaign messages
M Haselmayer, TM Meyer, M Wagner
Party Politics 25 (3), 412-423, 2019
42019
Friendly fire? Negative campaigning among coalition partners
M Haselmayer, M Jenny
Research & Politics 5 (3), 2053168018796911, 2018
32018
AUTNES MediaAutomatic 2013: Documentation
M Haselmayer, C Jacobi, H Boomgaarden, JM Eberl, R Vonbun, ...
on GESIS (http://www. gesis. org/), 0
2
Gender Bias in Asylum Adjudications: Evidence for Leniency toward Token Women
A Ecker, L Ennser-Jedenastik, M Haselmayer
Sex Roles, 1-10, 2019
2019
Negative campaigning and its consequences: a review and a look ahead
M Haselmayer
French Politics, 1-18, 2019
2019
Kandidatinnen und Kandidaten im Wahlkampf
M Dolezal, M Haselmayer, M Jenny
Böhlau, 2014
2014
Gaullistische Außenpolitik in der fünften Republik Frankreichs
M Haselmayer
uniwien, 2009
2009
Incivility in Austrian parliamentary debates: A supervised sentiment analysis of parliamentary speeches
M Jenny, M Haselmayer, E Rudkowsky, M Wastian, S Emrich, M Sedlmair
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