International Journal of Medical Informatics, Год журнала: 2024, Номер 190, С. 105563 - 105563
Опубликована: Июль 21, 2024
Язык: Английский
International Journal of Medical Informatics, Год журнала: 2024, Номер 190, С. 105563 - 105563
Опубликована: Июль 21, 2024
Язык: Английский
NeoBiota, Год журнала: 2024, Номер 93, С. 117 - 141
Опубликована: Май 31, 2024
Humans play an integral role in biological invasions, from aiding introductions of alien species to experiencing their impacts and holding the ability manage them. The importance understanding dynamics stakeholders’ perceptions on is therefore increasingly recognized. In this study, we used anonymous online surveys contrast recreational anglers’ towards European flounder ( Platichthys flesus , Linnaeus, 1758) Iceland, where it classified as a potentially invasive species, prevailing amongst anglers species’ native range. We furthermore explored potential temporal changes perception Icelandic anglers. Our results indicate that have highly negative flounder, while its range, positive species. detected significant change less between administered October 2019 March 2023. Finally, compared novel, conservation culturomics tools further explore stakeholder public interest Iceland. comparison highlighted some limitations should be considered when using very small societies or for languages. For example, text mining approaches newspaper articles social media conservations neutral communication within targeted group via contrary surveys. Moreover, short-term peaks public’s drivers those Wikipedia pageviews but Google Trends provided mixed unreproducible results. Overall, our study highlights well vary over time space, though these are often difficult identify.
Язык: Английский
Процитировано
4Journal of Economic Behavior & Organization, Год журнала: 2025, Номер 233, С. 106956 - 106956
Опубликована: Март 20, 2025
Язык: Английский
Процитировано
0Journal of Computational Social Science, Год журнала: 2024, Номер 7(2), С. 2147 - 2193
Опубликована: Июль 16, 2024
Abstract When the 2022 Russian full-scale invasion of Ukraine forced millions people to leave their homes, officials worldwide scrambled estimate number who would seek refuge in countries. There were a limited official tools place lean on help determine this estimate. In article, we investigate possibility using various publicly available organic (i.e. non-designed) data predict movement from early crisis. particular, establish Ukrainian-language insecurity and contextual indicators multiple sources, namely Google Trends, Twitter/X, local newspapers, ACLED database, GDELT database. We compare usefulness these predicting migration into three neighboring countries: Poland, Slovakia, Hungary. To minimize challenge temporal misalignment between actual movement, develop lagging aggregation framework. Findings reveal Trends variables are robust leading indicator observed for conflict. While other less strong, they still capture shifts flows, highlighting potential during emerging displacement crises.
Язык: Английский
Процитировано
1International Journal of Medical Informatics, Год журнала: 2024, Номер 190, С. 105563 - 105563
Опубликована: Июль 21, 2024
Язык: Английский
Процитировано
0