Noëlle S Lebernegg
Biographic Data
| ID | 6745656 |
|---|---|
| NAME | Noëlle S Lebernegg |
| GIVEN NAMES | Noëlle S |
| FAMILY NAME | Lebernegg |
| SIGNATURE | LEBERNEGG N S |
| AFFILIATIONS | University of Vienna |
| ORCID | 0000-0003-1120-6445 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Do You Speak Disinformation? Computational Detection of Deceptive News-Like Content Using Linguistic and Stylistic Features
Amid growing concerns about the proliferation and belief in false or misleading information, the study addresses the need for automated detection in the public domain. It revisits and replicates scattered findings using a comprehensive, content-oriented, and feature-based approach. This method reliably identifies deceptive news-like content and highlights the importance of individual features in guiding the prediction algorithm. Employing explain…
Not a Bioweapon, or is it? The Role of Perceived Threats and Media Use in Covid-19 Misperceptions
The COVID-19 pandemic not only posed unprecedented threats to public health and economic stability but also triggered a crisis of information, described by the World Health Organization as an “infodemic.” Against this backdrop, this study explores the dynamics of COVID-19 misperceptions through the lens of Appraisal Theory and the Reinforcing Spirals Model, examining how perceived threats and media exposure shaped belief updating and reinforcemen…
What’s in a name? The effect of named entities on topic modelling interpretability
Topic Modelling has established itself as one of the major text-as-data methodologies within the social sciences in general, and in communications science, in particular. The core strength of TM approaches is the fact that it is essentially a 2-in-1 method, as it both generates clusters into which the texts may fall as well as classifies the texts according to the clusters. Previous research has pointed out that pre-processing text corpora is as …
Political Opinion Leaders in High-Choice Information Environments: Are They More Informed Than Others
One implication of the transition to high-choice media environments is that what information people are exposed to depend less on journalistic curation and more on social, algorithmic, and personal curation. This has sparked a renewed interest in the concept of political opinion leaders, who are often assumed to be more interested in and informed about politics and society. Theoretically, political opinion leaders could hence help disseminate inf…
The Austrian Corona Panel Project: Monitoring individual and societal dynamics amidst the Covid-19 crisis
Systematic and openly accessible data are vital to the scientific understanding of the social, political, and economic consequences of the COVID-19 pandemic. This article introduces the Austrian Corona Panel Project (ACPP), which has generated a unique, publicly available data set from late March 2020 onwards. ACPP has been designed to capture the social, political, and economic impact of the COVID-19 crisis on the Austrian population on a weekly…
The Austrian Corona Panel Project: Monitoring individual and societal dynamics amidst the Covid-19 crisis
Systematic and openly accessible data are vital to the scientific understanding of the social, political, and economic consequences of the COVID-19 pandemic. This article introduces the Austrian Corona Panel Project (ACPP), which has generated a unique, publicly available data set from late March 2020 onwards. ACPP has been designed to capture the social, political, and economic impact of the COVID-19 crisis on the Austrian population on a weekly…
Political Opinion Leaders in High-Choice Information Environments: Are They More Informed Than Others
One implication of the transition to high-choice media environments is that what information people are exposed to depend less on journalistic curation and more on social, algorithmic, and personal curation. This has sparked a renewed interest in the concept of political opinion leaders, who are often assumed to be more interested in and informed about politics and society. Theoretically, political opinion leaders could hence help disseminate inf…
What’s in a name? The effect of named entities on topic modelling interpretability
Topic Modelling has established itself as one of the major text-as-data methodologies within the social sciences in general, and in communications science, in particular. The core strength of TM approaches is the fact that it is essentially a 2-in-1 method, as it both generates clusters into which the texts may fall as well as classifies the texts according to the clusters. Previous research has pointed out that pre-processing text corpora is as …
The Austrian Corona Panel Project: Monitoring individual and societal dynamics amidst the Covid-19 crisis
Systematic and openly accessible data are vital to the scientific understanding of the social, political, and economic consequences of the COVID-19 pandemic. This article introduces the Austrian Corona Panel Project (ACPP), which has generated a unique, publicly available data set from late March 2020 onwards. ACPP has been designed to capture the social, political, and economic impact of the COVID-19 crisis on the Austrian population on a weekly…
Political Opinion Leaders in High-Choice Information Environments: Are They More Informed Than Others
One implication of the transition to high-choice media environments is that what information people are exposed to depend less on journalistic curation and more on social, algorithmic, and personal curation. This has sparked a renewed interest in the concept of political opinion leaders, who are often assumed to be more interested in and informed about politics and society. Theoretically, political opinion leaders could hence help disseminate inf…
What’s in a name? The effect of named entities on topic modelling interpretability
Topic Modelling has established itself as one of the major text-as-data methodologies within the social sciences in general, and in communications science, in particular. The core strength of TM approaches is the fact that it is essentially a 2-in-1 method, as it both generates clusters into which the texts may fall as well as classifies the texts according to the clusters. Previous research has pointed out that pre-processing text corpora is as …
Do You Speak Disinformation? Computational Detection of Deceptive News-Like Content Using Linguistic and Stylistic Features
Amid growing concerns about the proliferation and belief in false or misleading information, the study addresses the need for automated detection in the public domain. It revisits and replicates scattered findings using a comprehensive, content-oriented, and feature-based approach. This method reliably identifies deceptive news-like content and highlights the importance of individual features in guiding the prediction algorithm. Employing explain…
Not a Bioweapon, or is it? The Role of Perceived Threats and Media Use in Covid-19 Misperceptions
The COVID-19 pandemic not only posed unprecedented threats to public health and economic stability but also triggered a crisis of information, described by the World Health Organization as an “infodemic.” Against this backdrop, this study explores the dynamics of COVID-19 misperceptions through the lens of Appraisal Theory and the Reinforcing Spirals Model, examining how perceived threats and media exposure shaped belief updating and reinforcemen…
Computer Science (3 works) · Misinformation and Its Impacts (3 works) · Political science (3 works) · Artificial Intelligence (2 works) · Coronavirus disease 2019 (COVID-19 (2 works) · Law (2 works) · Law (2 works) · Natural language processing (2 works) · Politics (2 works) · Public relations (2 works)