Alexander Helbing
Biographic Data
| ID | 6910243 |
|---|---|
| NAME | Alexander Helbing |
| GIVEN NAMES | Alexander |
| FAMILY NAME | Helbing |
| SIGNATURE | HELBING A |
| AFFILIATIONS | Chemnitz University of Technology |
| ORCID | 0009-0008-5957-0995 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Online Information as a Double-Edged Sword
This study examines the relationship between internet use and vaccine scepticism, focusing on the ambivalent role of digital information environments and digital health literacy (DHL). While the internet provides easy access to vaccination-related information, frequent internet use may also increase exposure to misinformation and disinformation. Accordingly, both positive and negative effects of internet-based information seeking are hypothesized…
Distinguishing complementary and alternative medicine
Treating complementary and alternative medicine as distinct reveals different prevalence rates and influencing factors. Religion, satisfaction with the healthcare system, education, age, and gender play varying roles depending on whether CAM is used alongside or instead of conventional medicine. Cross-country differences point to cultural and health system influences. For public health, distinguishing between complementary and alternative use can…
Social Desirability Bias in Measures of Norm Violations and Compliance during the Covid-19 Pandemic
Social desirability bias is a problem in surveys collecting data on norm violations and compliance. If confronted with sensitive questions, respondents systematically underreport norm violations and overreport norm compliance. This leads to biased survey estimates and poor data quality. To improve the measurement of norm violations and compliance, the item count technique (ICT) has been developed. The ICT anonymizes the question-and-answer proces…
No prominent works on this page.
Social Desirability Bias in Measures of Norm Violations and Compliance during the Covid-19 Pandemic
Social desirability bias is a problem in surveys collecting data on norm violations and compliance. If confronted with sensitive questions, respondents systematically underreport norm violations and overreport norm compliance. This leads to biased survey estimates and poor data quality. To improve the measurement of norm violations and compliance, the item count technique (ICT) has been developed. The ICT anonymizes the question-and-answer proces…
Online Information as a Double-Edged Sword
This study examines the relationship between internet use and vaccine scepticism, focusing on the ambivalent role of digital information environments and digital health literacy (DHL). While the internet provides easy access to vaccination-related information, frequent internet use may also increase exposure to misinformation and disinformation. Accordingly, both positive and negative effects of internet-based information seeking are hypothesized…
Distinguishing complementary and alternative medicine
Treating complementary and alternative medicine as distinct reveals different prevalence rates and influencing factors. Religion, satisfaction with the healthcare system, education, age, and gender play varying roles depending on whether CAM is used alongside or instead of conventional medicine. Cross-country differences point to cultural and health system influences. For public health, distinguishing between complementary and alternative use can…
Health care (2 works) · Public health (2 works) · Vaccine Coverage and Hesitancy (2 works) · 2019-20 coronavirus outbreak (1 works) · Complementary and Alternative Medicine Studies (1 works) · Compliance (psychology (1 works) · Context (archaeology (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · COVID-19 Pandemic Impacts (1 works) · Digital health (1 works)