@article{Meyer:206212,
      recid = {206212},
      author = {Meyer, Christian and Hamer, Martin and Terlau, Wiltrud and  Raithel, Johannes and Pongratz, Patrick},
      title = {Web Data Mining and Social Media Analysis for better  Communication in Food Safety Crises},
      address = {2015-05},
      number = {1023-2016-81881},
      pages = {10},
      year = {2015},
      abstract = {Although much effort is made to prevent risks arising from  food, food-borne diseases are an ever present-threat to the  consumers’ health. The consumption of fresh food that is  contaminated with pathogens like fungi, viruses or bacteria  can cause food poisoning that leads to severe health  damages or even death. The outbreak of Shiga  Toxin-producing enterohemorrhagic E. coli (EHEC) in Germany  and neighbouring countries in 2011 has shown this  dramatically. Nearly 4.000 people were reported of being  affected and more than 50 people died during the so called  EHEC-crisis. As a result the consumers’ trust in the safety  of fruits and vegetables decreased sharply.
In situations  like that food crisis managers from public authorities as  well as from privately owned companies must react quickly:  They have to identify and track back contaminated products  and they have to withdraw them from the market. At the same  time they have to inform the stakeholders’ about potential  threats and recent developments. This is a particularly  challenging task because when an outbreak is just detected  information about the actual scope is sparse and the demand  for information is high. Thus, ineffective communication  among crisis managers and towards the public can result in  inefficient crisis management, health damages and a major  loss of trust in the food system. This is why crisis  communication is a crucial part of successful crisis  management, whereas the quality of crisis communication  largely depends on the availability of and the access to  relevant information.
In order to improve the availability  of information, we have explored how information from  public accessible internet sources like Twitter or  Wikipedia can be harnessed for food crisis communication.  In this paper we are going to report on some initial  insight from a web mining and social media analysis  approach to monitor health and food related issues that can  develop into a potential crises. We have chosen Twitter and  Wikipedia as sources for our study since it’s publicly  accessible and reveal what people state about certain  topics and what people are looking for in order to answer  their questions.},
      url = {http://ageconsearch.umn.edu/record/206212},
      doi = {https://doi.org/10.22004/ag.econ.206212},
}