Andreas Petutschnig
Biographic Data
| ID | 3559627 |
|---|---|
| NAME | Andreas Petutschnig |
| GIVEN NAMES | Andreas |
| FAMILY NAME | Petutschnig |
| SIGNATURE | PETUTSCHNIG A |
| AFFILIATIONS | University of Salzburg |
| ORCID | 0000-0001-5029-2425 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data
Geo-social media data are widely used as a data source to model populations and processes in a variety of contexts. However, if the data do not adequately represent the population they are drawn from, analysis results will be biased. Unaddressed, these biases may lead to false interpretations and conclusions. In this paper, we propose a generic methodology for investigating the representativeness of geo-social media data for population groups of …
Commuter Mobility Patterns in Social Media: Correlating Twitter and Lodes Data
The Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics (LODES) are an important city planning resource in the USA. However, curating these statistics is resource-intensive, and their accuracy deteriorates when changes in population and urban structures lead to shifts in commuter patterns. Our study area is the San Francisco Bay area, and it has seen rapid population growth over the past years, which makes frequent u…
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics
In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfer, care, and accommodation of refugees due to the information gap about ongoing refugee movements. Therefore, we propose an approach utilising machine learning methods and publicly available data …
Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research
Inference attacks and protection measures are two sides of the same coin. Although the former aims to reveal information while the latter aims to hide it, they both increase awareness regarding the risks and threats from social media apps. On the one hand, inference attack studies explore the types of personal information that can be revealed and the methods used to extract it. An additional risk is that geosocial media data are collected massive…
Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research
Inference attacks and protection measures are two sides of the same coin. Although the former aims to reveal information while the latter aims to hide it, they both increase awareness regarding the risks and threats from social media apps. On the one hand, inference attack studies explore the types of personal information that can be revealed and the methods used to extract it. An additional risk is that geosocial media data are collected massive…
Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in Research
Inference attacks and protection measures are two sides of the same coin. Although the former aims to reveal information while the latter aims to hide it, they both increase awareness regarding the risks and threats from social media apps. On the one hand, inference attack studies explore the types of personal information that can be revealed and the methods used to extract it. An additional risk is that geosocial media data are collected massive…
Evaluating the Representativeness of Socio-Demographic Variables over Time for Geo-Social Media Data
Geo-social media data are widely used as a data source to model populations and processes in a variety of contexts. However, if the data do not adequately represent the population they are drawn from, analysis results will be biased. Unaddressed, these biases may lead to false interpretations and conclusions. In this paper, we propose a generic methodology for investigating the representativeness of geo-social media data for population groups of …
Commuter Mobility Patterns in Social Media: Correlating Twitter and Lodes Data
The Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics (LODES) are an important city planning resource in the USA. However, curating these statistics is resource-intensive, and their accuracy deteriorates when changes in population and urban structures lead to shifts in commuter patterns. Our study area is the San Francisco Bay area, and it has seen rapid population growth over the past years, which makes frequent u…
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics
In 2015, within the timespan of only a few months, more than a million people made their way from Turkey to Central Europe in the wake of the Syrian civil war. At the time, public authorities and relief organisations struggled with the admission, transfer, care, and accommodation of refugees due to the information gap about ongoing refugee movements. Therefore, we propose an approach utilising machine learning methods and publicly available data …
Computer Science (4 works) · Data science (4 works) · Social media (4 works) · Human Mobility and Location-Based Analysis (3 works) · World Wide Web (3 works) · Artificial Intelligence (2 works) · Data-Driven Disease Surveillance (2 works) · Demography (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works)