메뉴 건너뛰기




Volumn 57, Issue 2, 2017, Pages 320-340

Crime sensing with big data: The affordances and limitations of using open-source communications to estimate crime patterns

Author keywords

Big data; Broken windows; Computational criminology; Open source communications; Predictive policing; Social media

Indexed keywords


EID: 85016314282     PISSN: 00070955     EISSN: 14643529     Source Type: Journal    
DOI: 10.1093/bjc/azw031     Document Type: Article
Times cited : (125)

References (50)
  • 1
    • 0031427504 scopus 로고    scopus 로고
    • Of time and space: The contemporary relevance of the chicago school
    • Abbott, A. (1997), 'Of Time and Space: The Contemporary Relevance of the Chicago School', Social Forces, 75: 1149-82.
    • (1997) Social Forces , vol.75 , pp. 1149-1182
    • Abbott, A.1
  • 7
    • 51849142671 scopus 로고    scopus 로고
    • Policing crime and disorder hot spots: A randomized controlled trial
    • Braga, A. A. and Bond, B. J. (2008), 'Policing Crime and Disorder Hot Spots: A Randomized Controlled Trial', Criminology, 46: 577-607.
    • (2008) Criminology , vol.46 , pp. 577-607
    • Braga, A.A.1    Bond, B.J.2
  • 9
    • 79953314236 scopus 로고    scopus 로고
    • Governance, accountability and neighbourhood policing in Northern Ireland: Analysing the role of public meetings
    • Brunger, M. (2011), 'Governance, Accountability and Neighbourhood Policing in Northern Ireland: Analysing the Role of Public Meetings', Crime, Law and Social Change, 55: 105-20.
    • (2011) Crime, Law and Social Change , vol.55 , pp. 105-120
    • Brunger, M.1
  • 10
    • 84930475861 scopus 로고    scopus 로고
    • Cyber hate speech on twitter: An application of machine classification and statistical modeling for policy and decision making
    • Burnap, P. and Williams, M. L. (2015), 'Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making', Policy & Internet, 7: 223-242.
    • (2015) Policy & Internet , vol.7 , pp. 223-242
    • Burnap, P.1    Williams, M.L.2
  • 11
    • 84961615137 scopus 로고    scopus 로고
    • Us and them: Identifying cyber hate on twitter across multiple protected characteristics
    • Burnap, P. and Williams, M. L. (2016), 'Us and Them: Identifying Cyber Hate on Twitter across Multiple Protected Characteristics', EPJ Data Science, 5:11, available online at http://link.springer.com/article/10.1140/epjds/s13688-016-0072-6.
    • (2016) EPJ Data Science , vol.5 , pp. 11
    • Burnap, P.1    Williams, M.L.2
  • 13
    • 84906264962 scopus 로고    scopus 로고
    • Tweeting the terror: Modelling the social media reaction to the woolwich terrorist attack
    • Burnap, P, Williams, M. L. and Sloan, L. (2014b), 'Tweeting the Terror: Modelling the Social Media Reaction to the Woolwich Terrorist Attack', Social Network Analysis and Mining, 4: 1-14.
    • (2014) Social Network Analysis and Mining , vol.4 , pp. 1-14
    • Burnap, P.1    Williams, M.L.2    Sloan, L.3
  • 14
    • 84953403263 scopus 로고    scopus 로고
    • Is big data challenging criminology?
    • Published online 19 May 2015
    • Chan, J. and Bennet-Moses, L. (2015), 'Is Big Data Challenging Criminology?', Theoretical Criminology. Published online 19 May 2015, doi:10.1177/1362480615586614.
    • (2015) Theoretical Criminology
    • Chan, J.1    Bennet-Moses, L.2
  • 15
    • 68349106334 scopus 로고    scopus 로고
    • Identifying priority neighbourhoods using the vulnerable localities index
    • Chainey, S. (2008), 'Identifying Priority Neighbourhoods Using the Vulnerable Localities Index', Policing, 2: 196-209.
    • (2008) Policing , vol.2 , pp. 196-209
    • Chainey, S.1
  • 18
    • 84897492871 scopus 로고    scopus 로고
    • Predicting crime using twitter and kernel density estimation
    • Gerber M. S. (2014), 'Predicting Crime Using Twitter and Kernel Density Estimation', Decision Support Systems, 61: 115-25.
    • (2014) Decision Support Systems , vol.61 , pp. 115-125
    • Gerber, M.S.1
  • 20
    • 84896056107 scopus 로고    scopus 로고
    • The parable of google flu: Traps in big data analysis
    • Lazer, D., Kennedy, R., King, G. and Vespignani, A. (2014), 'The Parable of Google Flu: Traps in Big Data Analysis', Sciecne, 343: 1203-5.
    • (2014) Sciecne , vol.343 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 22
    • 85016262375 scopus 로고    scopus 로고
    • White paper: Update on the twitter archive at the library of congress
    • (last accessed 10 January 2013)
    • Library of Congress. (2013), 'White Paper: Update on the Twitter Archive at the Library of Congress', Library of Congress, available online at http://www.loc.gov/today/pr/2013/files/ twitter-report-2013jan.pdf (last accessed 10 January 2013).
    • (2013) Library of Congress
  • 24
    • 84988285613 scopus 로고    scopus 로고
    • The impact of using social media data in crime rate calculations: Shifting hot spots and changing spatial patterns
    • Malleson, N. and Andresen, M. (2015), 'The Impact of Using Social Media Data in Crime Rate Calculations: Shifting Hot Spots and Changing Spatial Patterns', Cartography and Geographic Information Science, 42: 112-21.
    • (2015) Cartography and Geographic Information Science , vol.42 , pp. 112-121
    • Malleson, N.1    Andresen, M.2
  • 25
    • 85016264138 scopus 로고    scopus 로고
    • National Policing Improvement Agency
    • NPIA. (2009), NPIA Business Plan 2009-10. National Policing Improvement Agency.
    • (2009) NPIA Business Plan 2009-10
  • 26
    • 84930515458 scopus 로고    scopus 로고
    • Public and private spheres of neighborhood disorder: Assessing pathways to violence using large-scale digital records
    • O'Brien, D. and Sampson, R. J. (2015), 'Public and Private Spheres of Neighborhood Disorder: Assessing Pathways to Violence Using Large-Scale Digital Records', Journal of Research in Crime and Delinquency, 52: 486-510.
    • (2015) Journal of Research in Crime and Delinquency , vol.52 , pp. 486-510
    • O'Brien, D.1    Sampson, R.J.2
  • 27
    • 84954517138 scopus 로고    scopus 로고
    • Ecometrics in the age of big data: Measuring and assessing 'broken windows' using large-scale administrative records
    • O'Brien, D. T., Sampson, R. J. and Winship, C. (2015), 'Ecometrics in the Age of Big Data: Measuring and Assessing 'Broken Windows' Using Large-scale Administrative Records', Sociological Methodology, 45: 101-47.
    • (2015) Sociological Methodology , vol.45 , pp. 101-147
    • O'Brien, D.T.1    Sampson, R.J.2    Winship, C.3
  • 28
    • 0034419145 scopus 로고    scopus 로고
    • Poisson-based regression analysis of aggregate crime rates
    • Osgood, W. D. (2000), 'Poisson-Based Regression Analysis of Aggregate Crime Rates', Journal of Quantitative Criminology, 16: 21-43.
    • (2000) Journal of Quantitative Criminology , vol.16 , pp. 21-43
    • Osgood, W.D.1
  • 29
    • 78751524414 scopus 로고    scopus 로고
    • Neighbourhood change: The impact of the national reassurance policing programme
    • Quinton, P. and Tuffin, R. (2007), 'Neighbourhood change: The impact of the National Reassurance Policing Programme', Policing: A Journal of Policy and Practice, 1: 149-60.
    • (2007) Policing: A Journal of Policy and Practice , vol.1 , pp. 149-160
    • Quinton, P.1    Tuffin, R.2
  • 30
    • 0033426640 scopus 로고    scopus 로고
    • Ecometrics: Toward a science of assessing ecological settings, with application to the systematic social observation of neighborhoods
    • Raudenbush, S. W. and Sampson, R. J. (1999), 'Ecometrics: Toward a Science of Assessing Ecological Settings, with Application to the Systematic Social Observation of Neighborhoods', Sociological Methodology, 29: 1-41.
    • (1999) Sociological Methodology , vol.29 , pp. 1-41
    • Raudenbush, S.W.1    Sampson, R.J.2
  • 31
    • 84882961415 scopus 로고    scopus 로고
    • Priorities for the minority? Street-based sex work and partnerships and communities together (pact)
    • Sagar, T. and Jones, D. (2013), 'Priorities for the Minority? Street-based Sex Work and Partnerships and Communities Together (PACT)', Criminology and Criminal Justice, 13: 431-45.
    • (2013) Criminology and Criminal Justice , vol.13 , pp. 431-445
    • Sagar, T.1    Jones, D.2
  • 34
    • 12344260546 scopus 로고    scopus 로고
    • Seeing disorder: Neighborhood stigma and the social construction of "broken windows
    • Sampson, R. J. and Raudenbush, S. W. (2004), 'Seeing Disorder: Neighborhood Stigma and the Social Construction of "Broken Windows"', Social Psychology Quarterly, 67: 317-42.
    • (2004) Social Psychology Quarterly , vol.67 , pp. 317-342
    • Sampson, R.J.1    Raudenbush, S.W.2
  • 35
    • 34547894714 scopus 로고    scopus 로고
    • The coming crisis of empirical sociology
    • Savage, M. and Burrows, R. (2007), 'The Coming Crisis of Empirical Sociology', Sociology, 41: 885-99.
    • (2007) Sociology , vol.41 , pp. 885-899
    • Savage, M.1    Burrows, R.2
  • 38
    • 84952673791 scopus 로고    scopus 로고
    • Who tweets with their location? Understanding the relationship between demographic characteristics and the use of geoservices and geotagging on twitter
    • Published online 6 November 2015
    • Sloan, L. and Morgan, J. (2015), 'Who Tweets with Their Location? Understanding the Relationship Between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter', PLoS One. Published online 6 November 2015, doi:10.1371/ journal.pone.0142209.
    • (2015) PLoS One
    • Sloan, L.1    Morgan, J.2
  • 39
    • 84923888276 scopus 로고    scopus 로고
    • Who tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-data
    • Published online 2 March 2015
    • Sloan, L., Morgan, J., Burnap, P. and Williams, M. L. (2015), 'Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data', PLoS One. Published online 2 March 2015, doi:10.1371/journal.pone.0115545.
    • (2015) PLoS One
    • Sloan, L.1    Morgan, J.2    Burnap, P.3    Williams, M.L.4
  • 41
    • 84884233804 scopus 로고    scopus 로고
    • How many people use the top social media?
    • (last accessed 15 July 2012)
    • Smith, D. (2012), 'How Many People Use the Top Social Media?', Digital Market Ramblings, available online at http://expandedramblings.com/index.php/resource-how-many-people- use-the-top-social-media/ (last accessed 15 July 2012).
    • (2012) Digital Market Ramblings
    • Smith, D.1
  • 46
    • 85016308225 scopus 로고    scopus 로고
    • Towards an ethical framework for using social media data in social research
    • presented at, Institute of Education, 15 June 2015
    • Williams, M. L. (2015), 'Towards an Ethical Framework for Using Social Media Data in Social Research', presented at Social Research Association Workshop, Institute of Education, 15 June 2015, available at http://the-sra.org.uk/wp-content/uploads/ethicsin- social-media-research-matthew-williams.pdf.
    • (2015) Social Research Association Workshop
    • Williams, M.L.1
  • 47
    • 84960460453 scopus 로고    scopus 로고
    • Cyberhate on social media in the aftermath of woolwich: A case study in computational criminology and big data
    • Williams, M. L. and Burnap, P. (2015), 'Cyberhate on Social Media in the Aftermath of Woolwich: A Case Study in Computational Criminology and Big Data', British Journal of Criminology, 56: 211-38.
    • (2015) British Journal of Criminology , vol.56 , pp. 211-238
    • Williams, M.L.1    Burnap, P.2
  • 49
    • 0002787474 scopus 로고
    • The police and neighborhood safety: Broken windows
    • Wilson, J. Q. and Kelling, G. L. (1982), 'The Police and Neighborhood Safety: Broken Windows', Atlantic Monthly, 127: 29-38.
    • (1982) Atlantic Monthly , vol.127 , pp. 29-38
    • Wilson, J.Q.1    Kelling, G.L.2
  • 50
    • 0041772238 scopus 로고    scopus 로고
    • Crime and social exclusion
    • M. Maguire, R. Morgan and R. Reiner, eds, 3rd edn. Oxford University Press
    • Young J. (2002), 'Crime and Social Exclusion', in M. Maguire, R. Morgan and R. Reiner, eds, The Oxford Handbook of Criminology, 3rd edn. Oxford University Press.
    • (2002) The Oxford Handbook of Criminology
    • Young, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.