126 research outputs found
Online sentiment towards iconic species
Studies assessing online public sentiment towards biodiversity conservation are almost non-existent. The use of social media data and other online data sources is increasing in conservation science. We collected social media and online news data pertaining to rhinoceros, which are iconic species especially threatened by illegal wildlife trade, and assessed online sentiment towards these species using natural language processing methods. We also used an outlier detection technique to identify the most prominent conservation-related events imprinted into this data. We found that tragic events, such as the death of the last male northern white rhinoceros, Sudan, in March 2018, triggered the strongest reactions, which appeared to be concentrated in western countries, outside rhinoceros range states. We also found a strong temporal cross-correlation between social media data volume and online news volume in relation to tragic events, while other events only appeared in either social media or online news. Our results highlight that the public is concerned about biodiversity loss and this, in turn, can be used to increase pressure on decision makers to develop adequate conservation actions that can help reverse the biodiversity crisis. The proposed methods and analyses can be used to infer sentiment towards any biodiversity topic from digital media data, and to detect which events are perceived most important to the public.Peer reviewe
Exploring the linguistic landscape of geotagged social media content in urban environments
This article explores the linguistic landscape of social media posts associated with specific geographic locations using computational methods. Because physical and virtual spaces have become increasingly intertwined due to location-aware mobile devices, we propose extending the concept of linguistic landscape to cover both physical and virtual environments. To cope with the high volume of social media data, we adopt computational methods for studying the richness and diversity of the virtual linguistic landscape, namely, automatic language identification and topic modelling, together with diversity indices commonly used in ecology and information sciences. We illustrate the proposed approach in a case study covering nearly 120,000 posts uploaded on Instagram over 4.5 years at the Senate Square in Helsinki, Finland. Our analysis reveals the richness and diversity of the virtual linguistic landscape, which is also shown to be susceptible to continuous change.Peer reviewe
Distances between two chromosomes in interphase nuclei as determined with digitized image analysis
Ethics in biodiversity conservation : The meaning and importance of pluralism
Addressing the global extent of the current biodiversity crisis requires engaging with the existence of multiple equally legitimate values, but also with diverse ethical perspectives underpinning conceptions of right and wrong actions. However, western monist positions have mostly explicitly or implicitly directed conservation strategies by defining the space of legitimate arguments, overlooking solutions that do not fit neatly the chosen approaches. As ignoring diverse ethical positions leads to injustices and reduces the potential of conserving biodiversity, there is a need to recognise and navigate the ethical landscape. Ethical pluralism may provide opportunities to do so. However, the ethical underpinnings of pluralism have not been fully considered in biodiversity conservation. In this article, we elaborate the meaning, importance and limits of ethical pluralism while highlighting opportu-nities and challenges that the position may entail in biodiversity conservation science and practice. We argue that ethical pluralism allows recognising not only the existence of incommensurable plural values, but also that moral conflicts should embrace intra and inter-cultural criticism and the legitimacy of agonism and dissent, as opposed to monistic and relativistic approaches. We conclude by discussing how grounding ethical pluralism in envi-ronmental justice and environmental pragmatism may contribute to navigating the ethical landscape in biodi-versity conservation. Particularly, we highlight opportunities to: i) promote (non-anthropocentrically understood) recognition and environmental justice in biodiversity conservation and, ii) move beyond theoretical debates seeking the single best ethical theory and focus on ethical diversity as a common source of possible solutions.Peer reviewe
How to address data privacy concerns when using social media data in conservation science
Social media data are being increasingly used in conservation science to study human–nature interactions. User-generated content, such as images, video, text, and audio, and the associated metadata can be used to assess such interactions. A number of social media platforms provide free access to user-generated social media content. However, similar to any research involving people, scientific investigations based on social media data require compliance with highest standards of data privacy and data protection, even when data are publicly available. Should social media data be misused, the risks to individual users’ privacy and well-being can be substantial. We investigated the legal basis for using social media data while ensuring data subjects’ rights through a case study based on the European Union’s General Data Protection Regulation. The risks associated with using social media data in research include accidental and purposeful misidentification that has the potential to cause psychological or physical harm to an identified person. To collect, store, protect, share, and manage social media data in a way that prevents potential risks to users involved, one should minimize data, anonymize data, and follow strict data management procedure. Risk-based approaches, such as a data privacy impact assessment, can be used to identify and minimize privacy risks to social media users, to demonstrate accountability and to comply with data protection legislation. We recommend that conservation scientists carefully consider our recommendations in devising their research objectives so as to facilitate responsible use of social media data in conservation science research, for example, in conservation culturomics and investigations of illegal wildlife trade online.Peer reviewe
User-Generated Geographic Information for Visitor Monitoring in a National Park : A Comparison of Social Media Data and Visitor Survey
Protected area management and marketing require real-time information on visitors’ behavior and preferences. Thus far, visitor information has been collected mostly with repeated visitor surveys. A wealth of content-rich geographic data is produced by users of different social media platforms. These data could potentially provide continuous information about people’s activities and interactions with the environment at different spatial and temporal scales. In this paper, we compare social media data with traditional survey data in order to map people’s activities and preferences using the most popular national park in Finland, Pallas-Yllästunturi National Park, as a case study. We compare systematically collected survey data and the content of geotagged social media data and analyze: (i) where do people go within the park; (ii) what are their activities; (iii) when do people visit the park and if there are temporal patterns in their activities; (iv) who the visitors are; (v) why people visit the national park; and (vi) what complementary information from social media can provide in addition to the results from traditional surveys. The comparison of survey and social media data demonstrated that geotagged social media content provides relevant information about visitors’ use of the national park. As social media platforms are a dynamic source of data, they could complement and enrich traditional forms of visitor monitoring by providing more insight on emerging activities, temporal patterns of shared content, and mobility patterns of visitors. Potentially, geotagged social media data could also provide an overview of the spatio-temporal activity patterns in other areas where systematic visitor monitoring is not taking place.Peer reviewe
Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areas
Charismatic megafauna are arguably considered the primary attractor of ecotourists to sub-Saharan African protected areas. However, the lack of visitation data across the whole continent has thus far prevented the investigation of whether charismatic species are indeed a key attractor of ecotourists to protected areas. Social media data can now be used for this purpose. We mined data from Instagram, and used generalized linear models with site- and country-level deviations to explore which socio-economic, geographical and biological factors explain social media use in sub-Saharan African protected areas. We found that charismatic species richness did not explain social media usage. On the other hand, protected areas that were more accessible, had sparser vegetation, where human population density was higher, and that were located in wealthier countries, had higher social media use. Interestingly, protected areas with lower richness in non-charismatic species had more users. Overall, our results suggest that more factors than simply charismatic species might explain attractiveness of protected areas, and call for more in-depth content analysis of the posts. With African countries projected to develop further in the near-future, more social media data will become available, and could be used to inform protected area management and marketing.Peer reviewe
Ganando Confianza: Research Focus Groups with Immigrant Mexican Mothers
Immigrant families with children with developmental disabilities must be served using culturally sensitive approaches to service and research to maximize treatment benefits. In an effort to better understand cultural issues relevant to the provision of parenting programs for immigrant Mexican mothers of children with developmental disabilities, we conducted sustained focus groups through which we could learn more about our participants and thereby improve services. This paper reports on the challenges and lessons learned from these groups. We characterize the key lessons as (a) recruitment and retention is more than agreement to participate; (b) confidentiality is not just a word but an activity; (c) the complicated nature of language; (d) cultural norms shape the group process; (e) appreciating the value of taking time; and (f) gender issues and group interaction. Service providers and researchers who work with Mexican families may benefit from our experiences as they promote and develop programs and projects in the developmental disabilities field
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