Marius Sältzer
Biographic Data
| ID | 4378245 |
|---|---|
| NAME | Marius Sältzer |
| GIVEN NAMES | Marius |
| FAMILY NAME | Sältzer |
| SIGNATURE | SÄLTZER M |
| AFFILIATIONS | Carl von Ossietzky Universität Oldenburg |
| ORCID | 0000-0002-8604-4666 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 43 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Allocative claims and pork barrel politics
Political strategies are shaped by electoral institutions and incentives. There is a large literature on pork barrel politics in single-member districts (SMD), but understanding the institutional effects that shape the incentives for pork requires comparison within the same system. The German Mixed-Member Electoral system offers an ideal institutional setup, but official data on pork is not available. Instead, we focus on the use of pork referenc…
Between home turf and Hinterland
Geographic representation is a central feature of democracies: elected politicians are expected to speak and act on behalf of their constituency. Yet, politicians differ in how strongly their communication and behavior reflect territorial attachments, for instance, in mixed-member proportional systems. This study examines these differences using a two-dimensional measure of geographic representation that captures both the localness of referenced …
Partisan communication in two-stage elections
The influence of congressional primary elections on candidate positioning remains disputed and poorly understood. We test whether candidates communicate artificially “extreme” positions during the nomination, as revealed by moderation following a primary defeat. We apply a scaling method based on candidates language on Twitter to estimate positions of 988 candidates in contested US House of Representatives primaries in 2020 over time, demonstrati…
Affective States
Affective Polarization—the growing mutual dislike among partisan groups—has been identified as a major concern in democracies. Although both economic and cultural ideological divides contribute to ideological polarization, their affective consequences can differ. This paper argues that cultural polarization becomes especially consequential when mobilized by far-right parties. Using data from 116 elections in Germany’s 16 states (1990-2023), we co…
Issue congruence between candidates' Twitter communication and constituencies in an MMES
How responsive are individual politicians to their constituents’ issue priorities? While parties compete nationally, candidates must navigate varying local issue salience. We investigate whether candidates adjust their emphasis on migration to district-level priorities in Germany’s mixed-member electoral system. Using survey data on voter issue salience and over a million candidate tweets from the 2017 Bundestag election, we apply supervised clas…
Beyond rationality. Toward a more comprehensive understanding of the use of negative campaigning
Most scholars agree that candidates’ use of negative campaigning is based on rational considerations, i.e., weighing likely benefits against potential costs. We argue that this perspective is far too narrow and outline the elements of a comprehensive model on the use of negative campaign communication that builds on personality traits, values, social norms, and attitudes toward negative campaigning as complementary mechanisms to classical rationa…
Misogyny, politics, and social media determinants of hostile engagement against women parliamentarians on Twitter
Politicians use social media to engage directly with the public using diverse communication styles including aggressive or uncivil language. Yet, little is known about gender differences in politicians' communication styles and their subsequent online reactions. In this study, we investigate whether women politicians who use critical or insulting language on Twitter face disproportionate backlash compared to men politicians. To test our hypothesi…
Establishing standards for human-annotated samples applied in supervised machine learning – Evidence from a Monte Carlo simulation
Automatisierte Inhaltsanalysen sind ein häufig genutztes Instrument zur Beantwortung kommunikationswissenschaftlicher Forschungsfragen. Während Standards für die manuelle Inhaltsanalyse bereits vor Jahrzehnten etabliert wurden, bleibt zu klären, ob diese Standards für den Einsatz manuell generierter Daten im maschinellen Lernen aus- reichen. Wissenschaftler folgen in der Regel einem zweistufigen Verfahren, um mit ihren Modellen qualitativ hochwer…
Semantic temporality analysis
Temporality is an important aspect of political discourse. Politicians and policymakers attempt to construct the past and the future to gain power, legitimize their policies, claim success for themselves and blame others. To make computational analysis of temporality more accessible, we develop a new methodology using a semisupervised machine-learning algorithm called Latent Semantic Scaling. Only with a set of common verbs in the past perfect an…
Twitter made me do it! Twitter's tonal platform incentive and its effect on online campaigning
Does Twitter trigger negative tones in politicians' digital communication? On social media direct feedback mechanisms such as retweets or likes signal to politicians which message and tone are popular. Current research suggests that negative language increases the number of retweets a single tweet receives, indicating preferences for negativity in the audience on Twitter. However, it remains unclear whether politicians adapt to the logic of Twitt…
Finding the bird’s wings
Intra-party politics has long been neglected due to lacking data sources. While we have a good understanding of the dynamics of ideological competition between parties, we know less about how individuals or groups inside parties influence policy, leadership selection and coalition bargaining. These questions can only be answered if we can place individual politicians and sub-party groups like factions on the same dimensions as in inter-party comp…
Finding the bird’s wings
Intra-party politics has long been neglected due to lacking data sources. While we have a good understanding of the dynamics of ideological competition between parties, we know less about how individuals or groups inside parties influence policy, leadership selection and coalition bargaining. These questions can only be answered if we can place individual politicians and sub-party groups like factions on the same dimensions as in inter-party comp…
Partisan communication in two-stage elections
The influence of congressional primary elections on candidate positioning remains disputed and poorly understood. We test whether candidates communicate artificially “extreme” positions during the nomination, as revealed by moderation following a primary defeat. We apply a scaling method based on candidates language on Twitter to estimate positions of 988 candidates in contested US House of Representatives primaries in 2020 over time, demonstrati…
Semantic temporality analysis
Temporality is an important aspect of political discourse. Politicians and policymakers attempt to construct the past and the future to gain power, legitimize their policies, claim success for themselves and blame others. To make computational analysis of temporality more accessible, we develop a new methodology using a semisupervised machine-learning algorithm called Latent Semantic Scaling. Only with a set of common verbs in the past perfect an…
Beyond rationality. Toward a more comprehensive understanding of the use of negative campaigning
Most scholars agree that candidates’ use of negative campaigning is based on rational considerations, i.e., weighing likely benefits against potential costs. We argue that this perspective is far too narrow and outline the elements of a comprehensive model on the use of negative campaign communication that builds on personality traits, values, social norms, and attitudes toward negative campaigning as complementary mechanisms to classical rationa…
Establishing standards for human-annotated samples applied in supervised machine learning – Evidence from a Monte Carlo simulation
Automatisierte Inhaltsanalysen sind ein häufig genutztes Instrument zur Beantwortung kommunikationswissenschaftlicher Forschungsfragen. Während Standards für die manuelle Inhaltsanalyse bereits vor Jahrzehnten etabliert wurden, bleibt zu klären, ob diese Standards für den Einsatz manuell generierter Daten im maschinellen Lernen aus- reichen. Wissenschaftler folgen in der Regel einem zweistufigen Verfahren, um mit ihren Modellen qualitativ hochwer…
Twitter made me do it! Twitter's tonal platform incentive and its effect on online campaigning
Does Twitter trigger negative tones in politicians' digital communication? On social media direct feedback mechanisms such as retweets or likes signal to politicians which message and tone are popular. Current research suggests that negative language increases the number of retweets a single tweet receives, indicating preferences for negativity in the audience on Twitter. However, it remains unclear whether politicians adapt to the logic of Twitt…
Finding the bird’s wings
Intra-party politics has long been neglected due to lacking data sources. While we have a good understanding of the dynamics of ideological competition between parties, we know less about how individuals or groups inside parties influence policy, leadership selection and coalition bargaining. These questions can only be answered if we can place individual politicians and sub-party groups like factions on the same dimensions as in inter-party comp…
Establishing standards for human-annotated samples applied in supervised machine learning – Evidence from a Monte Carlo simulation
Automatisierte Inhaltsanalysen sind ein häufig genutztes Instrument zur Beantwortung kommunikationswissenschaftlicher Forschungsfragen. Während Standards für die manuelle Inhaltsanalyse bereits vor Jahrzehnten etabliert wurden, bleibt zu klären, ob diese Standards für den Einsatz manuell generierter Daten im maschinellen Lernen aus- reichen. Wissenschaftler folgen in der Regel einem zweistufigen Verfahren, um mit ihren Modellen qualitativ hochwer…
Semantic temporality analysis
Temporality is an important aspect of political discourse. Politicians and policymakers attempt to construct the past and the future to gain power, legitimize their policies, claim success for themselves and blame others. To make computational analysis of temporality more accessible, we develop a new methodology using a semisupervised machine-learning algorithm called Latent Semantic Scaling. Only with a set of common verbs in the past perfect an…
Misogyny, politics, and social media determinants of hostile engagement against women parliamentarians on Twitter
Politicians use social media to engage directly with the public using diverse communication styles including aggressive or uncivil language. Yet, little is known about gender differences in politicians' communication styles and their subsequent online reactions. In this study, we investigate whether women politicians who use critical or insulting language on Twitter face disproportionate backlash compared to men politicians. To test our hypothesi…
Partisan communication in two-stage elections
The influence of congressional primary elections on candidate positioning remains disputed and poorly understood. We test whether candidates communicate artificially “extreme” positions during the nomination, as revealed by moderation following a primary defeat. We apply a scaling method based on candidates language on Twitter to estimate positions of 988 candidates in contested US House of Representatives primaries in 2020 over time, demonstrati…
Affective States
Affective Polarization—the growing mutual dislike among partisan groups—has been identified as a major concern in democracies. Although both economic and cultural ideological divides contribute to ideological polarization, their affective consequences can differ. This paper argues that cultural polarization becomes especially consequential when mobilized by far-right parties. Using data from 116 elections in Germany’s 16 states (1990-2023), we co…
Issue congruence between candidates' Twitter communication and constituencies in an MMES
How responsive are individual politicians to their constituents’ issue priorities? While parties compete nationally, candidates must navigate varying local issue salience. We investigate whether candidates adjust their emphasis on migration to district-level priorities in Germany’s mixed-member electoral system. Using survey data on voter issue salience and over a million candidate tweets from the 2017 Bundestag election, we apply supervised clas…
Beyond rationality. Toward a more comprehensive understanding of the use of negative campaigning
Most scholars agree that candidates’ use of negative campaigning is based on rational considerations, i.e., weighing likely benefits against potential costs. We argue that this perspective is far too narrow and outline the elements of a comprehensive model on the use of negative campaign communication that builds on personality traits, values, social norms, and attitudes toward negative campaigning as complementary mechanisms to classical rationa…
Allocative claims and pork barrel politics
Political strategies are shaped by electoral institutions and incentives. There is a large literature on pork barrel politics in single-member districts (SMD), but understanding the institutional effects that shape the incentives for pork requires comparison within the same system. The German Mixed-Member Electoral system offers an ideal institutional setup, but official data on pork is not available. Instead, we focus on the use of pork referenc…
Between home turf and Hinterland
Geographic representation is a central feature of democracies: elected politicians are expected to speak and act on behalf of their constituency. Yet, politicians differ in how strongly their communication and behavior reflect territorial attachments, for instance, in mixed-member proportional systems. This study examines these differences using a two-dimensional measure of geographic representation that captures both the localness of referenced …
Politics (7 works) · Electoral Systems and Political Participation (6 works) · Law (6 works) · Political science (6 works) · Psychology (6 works) · Social Media and Politics (6 works) · Social Psychology (6 works) · Computational and Text Analysis Methods (5 works) · Law (5 works) · Social Psychology (5 works)