A Path Toward the Use of Trail Users’ Tweets to Assess Effectiveness of the Environmental Stewardship Scheme: An Exploratory Analysis of the Pennine Way National Trail

Applied Spatial Analysis and Policy - Tập 12 - Trang 71-99 - 2016
Tom Wilson1, Robin Lovelace1, Andrew J. Evans1
1School of Geography, Faculty of Environment, The University of Leeds, Leeds, UK

Tóm tắt

Large and unofficial data sets, for instance those gathered from social media, are increasingly being used in geographical research and explored as decision support tools for policy development. Social media data have the potential to provide new insight into phenomena about which there is little information from conventional sources. Within this context, this paper explores the potential of social media data to evaluate the aesthetic management of landscape. Specifically, this project utilises the perceptions of visitors to the Pennine Way National Trail, which passes through land managed under the Environmental Stewardship Scheme (ESS). The method analyses sentiment in trail users’ public Twitter messages (tweets) with the aim of assessing the extent to which the ESS maintains landscape character within the trail corridor. The method demonstrates the importance of filtering social media data to convert it into useful information. After filtering, the results are based on 161 messages directly related to the trail. Although small, this sample illustrates the potential for social media to be used as a cheap and increasingly abundant source of information. We suggest that social media data in this context should be seen as a resource that can complement, rather than replace, conventional data sources such as questionnaires and interviews. Furthermore, we provide guidance on how social media could be effectively used by conservation bodies, such as Natural England, which are charged with the management of areas of environmental value worldwide.

Tài liệu tham khảo

Alexa. (2014). How popular is twitter.com? Available at: http://www.alexa.com/siteinfo/twitter.com. Accessed December 22 2014. Amy, S.R., Baker, A., Carey, P.D., Dean, H.J., Kirby, V.G., Nisbet, A., Peyton, J.M., Pywell, R.F., Redhead, J.W. & Smart, S.M in Mountford, J.O. & Cooke, A.I. (editors). (2013). Monitoring the outcomes of Higher Level Stewardship: Results of a 3-year agreement monitoring programme. Natural England Commissioned Reports, Number 114. Ascione, A., Cinque, A., Miccadei, E., Villani, F., & Berti, C. (2008). The Plio-quaternary uplift of the Apennine chain: new data from the analysis of topography and river valleys in Central Italy. Geomorphology, 102(1), 105–118. Borth, D., Ji, R., Chen, T., Breuel, T., & Chang, S. F. (2013). Large-scale visual sentiment ontology and detectors using adjective noun pairs. Proceedings of the 21st ACM international conference on Multimedia, pp. 223–232. Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662–679. Boyd, D., & Marwick, A. (2011). Social privacy in networked publics: teens’ attitudes, practices, and strategies. Paper given at the Oxford Internet Institute. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1925128. Accessed February 13 2015]. Boyd, D., Golder, S., & Lotan, G. (2010). Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In 43rd Hawaii International Conference on system sciences (HICSS), pp. 1–10. Broniatowski, D. A., Paul, M. J., & Dredze, M. (2013). National and local influenza surveillance through twitter: an analysis of the 2012–2013 influenza epidemic. PloS One, 8(12). Carver, S. (1996). Mapping the wilderness continuum using raster GIS. Raster imagery in geographic information systems. OnWord Press, New Mexico, pp. 283–288. Carver, S., Comber, L., Fritz, S., McMorran, R., Taylor, S., & Washtell, J. (2008). Wildness Study in the Cairngorms National Park. University of Leeds. Carver, S., Comber, A., McMorran, R., & Nutter, S. (2012). A GIS model for mapping spatial patterns and distribution of wild land in Scotland. Landscape and Urban Planning, 104(3–4), 395–409. Central Science Laboratory. (2007). Evaluation of the operation of environmental stewardship. Report to Defra MA01028. Cooley, S. (2015) (Unknown). Terrain Roughness, 12 ways. GIS 4 Geomorphology. http://gis4geomorphology.com/roughness-topographic-position/. Accessed February 15 . Cunha, E., Magno, G., Comarela, G., Almeida, V., Gonçalves, M. A., & Benevenuto, F. (2011). Analyzing the dynamic evolution of hashtags on twitter: a language-based approach. Proceedings of the Workshop on Languages in Social Media, (LSM '11). Association for Computational Linguistics, Stroudsburg, PA, 58–65. De Floriani, L., Marzano, P., & Puppo, E. (1994). Line-of-sight communication on terrain models. International Journal of Geographical Information Systems, 8(4), 329–342. Defra. (2013). Developing the potential for Payments for Ecosystem Services: an Action Plan. Defra & Natural England. (2008) Environmental Stewardship – Review of Progress 2008. Driscoll, K., & Walker, S. (2014). Big data, big questions| working within a black box: Transparency in the collection and production of big twitter data. International Journal of Communication, 8(2014), 1745–1764. Eckert, J., Walker, S., Hemsley, J., Nahon, K., & Mason, B. (2013). Opening the Black Box of Social Media Research Methods: SoMe Ways Forward, Work in progress by the SoMe Lab @ UW. http://somelab.net/wp-content/uploads/2013/01/HICSS_workshop_final29Dec.pdf. Accessed February 13 2015. Emojipedia. (2015). Emojipedia. http://emojipedia.org/ Accessed February 15 2015. ESRI. (2011). ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute. European Commission. (2015). Agriculture and Rural Development. http://ec.europa.eu/agriculture/envir/measures/index_en.htm. Accessed September 15 2015. Fox, E. (2008). Emotion science. Basingstoke: Palgrave Macmillan. Franks, J. R., & Emery, S. B. (2013). Incentivising collaborative conservation: lessons from existing environmental stewardship scheme options. Land Use Policy, 30(1), 847–862. Geograph Project Limited. (2016) Geograph.org. Accessed January 15 2016 Go, A., Bhayani, R., & Huang, L. (2009). Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, pp. 1–12. Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), 211–221. Grohmann, C. H., Smith, M. J., & Riccomini, C. (2011). Multiscale analysis of topographic surface roughness in the Midland Valley, Scotland. IEEE Transactions on Geoscience and Remote Sensing, 49(4), 1200–1213. Hecht, B., & Stephens, M. (2014). A tale of cities: Urban biases in volunteered geographic information. In Proceedings of the International Workshop on Web and Social Media (ICWSM). Hodge, I., & Reader, M. (2010). The introduction of entry level stewardship in England: extension or dilution in Agri-environment policy? Land Use Policy, 27(2), 270–282. Java, A., Song, X., Finin, T., & Tseng, B. (2007). Why we twitter: understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, pp. 56–65. Kidner, D., Sparkes, A., & Dorey, M. (1999). GIS and wind farm planning. Geographical Information and Planning, pp. 203–223. Springer Berlin Heidelberg. Kim, Y. H., Rana, S., & Wise, S. (2004). Exploring multiple viewshed analysis using terrain features and optimisation techniques. Computers & Geosciences, 30(9), 1019–1032. Kucuktunc, O., Cambazoglu, B.B., Weber, I., & Ferhatosmanoglu, H. (2012). A large-scale sentiment analysis for Yahoo! Answers. Proceedings of the 5th ACM International Conference on Web Search and Data Mining. Kywe, S. M., Hoang, T. A., Lim, E. P., & Zhu, F. (2012). On recommending hashtags in twitter networks. In Social Informatics pp. 337–350. Springer Berlin Heidelberg. Lesslie, R. (1993). The National Wilderness Inventory: wilderness identification, assessment and monitoring in Australia. In International wilderness allocation, management and research. Proceedings of the 5th World Wilderness Congress, pp. 31–36. Liu, B. (2012). Sentiment Analysis and Opinion Mining. Morgan and Claypool. Long Distance Walkers Association. (2014). Pennine Way National Trail. http://www.ldwa.org.uk/ldp/members/show_path.php?menu_type=S&path_name=Pennine+Way+National+Trail. Accessed February 25 2015. Lovelace, R. (2014). “GeoT.csv”. Twitter Dataset. [dataset]. University of Leeds. 2014. Manovich, L. (2011). Trending: the promises and the challenges of big social data. Momtazi, S. (2012). Fine-grained German Sentiment Analysis on Social Media. In LREC, pp. 1215–1220. Morstatter, F., Pfeffer, J., Liu, H., & Carley, K. M. (2013). Is the sample good enough? Comparing data from twitter’s streaming API with Twitter’s firehose. arXiv preprint. Morton, R.D., Rowland, C., Wood, C. Meek, L., Marston, C., Smith, G., Wadsworth, R., Simpson, I.C. (2011). Final report for the LCM2007 - the new UK Land Cover Map. Countryside Survey Technical Report No 11/07 NERC/Centre for Ecology & Hydrology 112 pp.(CEH Project Number: C03259). Nasukawa, T., & Yi, J. (2003). Sentiment analysis: Capturing favorability using natural language processing. In Proceedings of the 2nd International Conference on Knowledge Capture. pp. 70–77. National Archives. (2014). Q&A: Monitor of Engagement with the Natural Environment (MENE): The national survey on people and the natural Environment. http://webarchive.nationalarchives.gov.uk/20140711133551/http://www.naturalengland.org.uk/Images/mene-stats-faq_tcm6-37788.pdf. Accessed February 8 2015. Natural England. (2009a). Agrı-environment schemes in England 2009. Report NE194. Natural England. (2009b). Farming with nature Agri-environment schemes in action. Report NE223. Natural England. (2011). Looking after your land with Environmental Stewardship. Report NE290. Natural England. (2013a). The best trails in England and Wales. http://www.nationaltrail.co.uk/sites/default/files/best_trails.pdf. Accessed February 25 2015. Natural England. (2013b). The New Deal: Management of National Trails in England from April. Report NE426. Natural England. (2013c). Entry Level Stewardship. Report NE349. Natural England. (2013d). GIS Viewshed Analysis to Identify Zones of Potential Visual Impact on Protected Landscapes. Methodology Report Version 1. http://www.geodata.soton.ac.uk/geodata/viewshed/Viewshed_Analysis_Methodology.pdf. Accessed February 15 2015. Natural England. (2014a). Assessment of the effects of Environmental Stewardship on landscape character. Natural England Commissioned Report 158. Natural England. (2014b). “Pennine Way Counter Data.csv”. Pennine Way Counter Data. [datafile]. Natural England. 2014. Natural England. (2014c). Environmental Stewardship Scheme Agreement (boundaries). [shapefile]. http://www.geostore.com/environment-agency/WebStore?xml=environment-agency/xml/ogcDataDownload.xml. Natural England. 2014. Natural England. (2015a). Monitor of Engagement with the Natural Environment: The national survey on people and the natural environment. Technical Report from the 2013–14 survey. Report JP010. Natural England/Countryside Council for Wales. (2007). Results of the national trail user survey 2007. New Cities Foundation (2012), Connected Commuting: Research and Analysis on the New Cities Foundation Task Force in San Jose. Nguyen, V. D., Varghese, B., & Barker, A. (2013). The royal birth of 2013: Analysing and visualising public sentiment in the uk using twitter. In Big Data, 2013 I.E. International Conference on (pp. 46–54). IEEE. Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 1(1–2), 1–135. Pennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G. (2003). Psychological aspects of natural language use: our words, our selves. Annual Review of Psychology, 54(1), 547–577. Pfitzner, R., Garas, A., & Schweitzer, F. (2012). Emotional divergence influences information spreading in Twitter, ICWSM-12. Pope, A. (2009). UK SRTM DEM. [dataset]. Version 1. EDINA, Edinburgh. Proctor, R. (2013). How 2.6 m tweets were analysed to understand reaction to the riots. The Guardian. http://www.theguardian.com/uk/2011/dec/07/how-tweets-analysed-understand-riots. Accessed February 15 2015. Quillerou, E., & Fraser, R. (2010). Adverse selection in the environmental stewardship scheme: does the higher level stewardship scheme reduce adverse selection? Journal of Agricultural Economics, 61(2), 369–380. Ramblers. (2012). National Trails: A fantastic future. http://www.ramblers.org.uk/what-we-do/news/2012/september/securing-a-fantastic-future-for-national-trails.aspx Accessed 7 January 2015. Sakaki, T., Okazaki, M., & Matsuo, Y. (2010). Earthquake shakes Twitter users: real-time event detection by social sensors. In Proceedings of the 19th International Conference on World Wide Web, pp. 851–860. Smith, S., Rowcroft, P., Everard, M., Couldrick, L., Reed, M., Rogers, H., Quick, T., Eves, C. & White, C. (2013). Payments for Ecosystem Services: A Best Practice Guide. Defra, London. Starbird, K., Maddock, J., Orand, M., Achterman, P., & Mason, R. M. (2014). Rumors, false flags, and digital vigilantes: Misinformation on Twitter after the 2013 Boston Marathon bombing. Statista. (2015). Number of monthly active Twitter users worldwide from 1st quarter 2010 to 4th quarter 2014 (in millions). http://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/. Accessed February 12 2015. Stone, P. J., Dunphy, D. C., Smith, M. S., & Ogilvie, D. M. (1966). The general inquirer: A computer approach to content analysis. Cambridge, MA: The MIT Press. Taboada, M., Brooke, J., Tofiloski, M., Voll, K., & Stede, M. (2011). Lexicon-based methods for sentiment analysis. Computational Linguistics, 37(2), 267–307. The Countryside Agency. (2005). Results of the National Trail User Survey 2005. http://www.iprow.co.uk/docs/uploads/UserSurveyReport2005.pdf. Accessed February 23 2015. Thelwall, M. (2013a). Heart and soul: Sentiment strength detection in the social web with sentistrength. Cyberemotions, 1–14. Thelwall, M. (2013b). Sentiment strength detection for the Social Web. Lecture series at Universitat Rovira i Virgili. http://sentistrength.wlv.ac.uk/documentation/course.html Accessed December 26 2015. Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12), 2544–2558. Thelwall, M., Buckley, K., & Paltoglou, G. (2011). Sentiment in twitter events. Journal of the American Society for Information Science and Technology, 62(2), 406–418. Thelwall, M., Buckley, K., & Paltoglou, G. (2012). Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, 63(1), 163–173. Tricker, J., Landres, P., Dingman, S., Callagan, C., Stark, J., Bonstead, L., & Carver, S. (2012). Mapping wilderness character in Death Valley National Park. Natural Resource Report NPS/DEVA/NRR-2012/503. National Park Service, Fort Collins, Colorado, 82. Tricker, J., Landres, P., Chenoweth, J., Hoffman, R., & Scott, R. (2013). Mapping wilderness character in Olympic National Park. Turney, P. D. (2002). Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics (ACL), July 6–12, 2002, Philadelphia, PA, 417–424. Unicode Inc. (2012). The Unicode Consortium. http://www.unicode.org/. Accessed February 20 2015. Walk Unlimited (2014). The Pennine Way. http://nationaltrail.co.uk/pennine-way Accessed 7 January 2015. Wilkinson, D., & Thelwall, M. (2012). Trending twitter topics in English: an international comparison. Journal of the American Society for Information Science and Technology, 63(8), 1631–1646. Wood-Gee, V. (2008). Long distance recreational routes. Scottish Natural Heritage Commissioned Report No.274 (ROAME No.RO6AA608). Yahoo. (2016). Flickr.com. Accessed January 12 2016.