Mining Twitter to monitor invasive alien species — An analytical framework and sample information topologies

• Published in: Ecological informatics Vol. 31; pp. 70 - 82
• Main Author: Daume, Stefan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2016
• Subjects: Agrilus planipennis; automatic detection; biodiversity; Biodiversity observations; Den föränderliga jorden; Ecological monitoring; Forest ecosystems; image analysis; information sources; Invasive alien species (IAS); invasive species; landscapes; Man and the environment; monitoring; moths; Naturmiljö och människan; public health; Social media mining; social networks; squirrels; The changing Earth; Twitter; Biodiversity observations; Twitter; Ecological monitoring; Social media mining; Forest ecosystems; Invasive alien species (IAS)

Social online media increasingly emerge as important informal information sources that can contribute to the detection of trends and early warnings in critical fields such as public health monitoring or emergency management. In the face of global environmental challenges the utilization of this info...