Nicole Gurran, C. Gilbert, K. Gibb, R. van den Nouwelant, Amity James, P. Phibbs
This study examined how planning mechanisms support affordable housing supply in Australia and overseas. In England 43 per cent of affordable housing built in 2015–16 (12,866 units) were delivered due to inclusionary planning requirements, while more than 500 cities in the United States have inclusionary zoning or impact fee requirements to supply affordable housing. In Australia planning systems can support affordable housing supply, but additional funding or subsidy is usually required to produce homes affordable to those on low and very low incomes.
{"title":"Supporting Affordable Housing Supply: Inclusionary Planning in New and Renewing Communities","authors":"Nicole Gurran, C. Gilbert, K. Gibb, R. van den Nouwelant, Amity James, P. Phibbs","doi":"10.18408/AHURI-7313201","DOIUrl":"https://doi.org/10.18408/AHURI-7313201","url":null,"abstract":"This study examined how planning mechanisms support affordable housing supply in Australia and overseas. In England 43 per cent of affordable housing built in 2015–16 (12,866 units) were delivered due to inclusionary planning requirements, while more than 500 cities in the United States have inclusionary zoning or impact fee requirements to supply affordable housing. In Australia planning systems can support affordable housing supply, but additional funding or subsidy is usually required to produce homes affordable to those on low and very low incomes.","PeriodicalId":101668,"journal":{"name":"ERN: Social Inclusion (Including Discrimination Testing) (Sub-Topic)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126585612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Do online communities segregate into separate conversations about “contestable knowledge”? We analyze the contributors of biased and slanted content in Wikipedia articles about U.S. politics, and focus on two research questions: (1) Do contributors display tendencies to contribute to topics with similar or opposing bias and slant? (2) Do contributors learn from experience with extreme or neutral content, and does that experience change the slant and bias of their contributions over time? Despite heterogeneity in contributors and their contributions, we find an overall trend towards less segregated conversations. Contributors tend to edit articles with slants that are the opposite of their own views, and the slant from experienced contributors becomes less extreme over time. The experienced contributors with the most extreme biases decline the most. We also find some significant differences between Republicans and Democrats.
{"title":"Ideological Segregation Among Online Collaborators: Evidence from Wikipedians","authors":"S. Greenstein, Grace Gu, Feng Zhu","doi":"10.2139/SSRN.2851934","DOIUrl":"https://doi.org/10.2139/SSRN.2851934","url":null,"abstract":"Do online communities segregate into separate conversations about “contestable knowledge”? We analyze the contributors of biased and slanted content in Wikipedia articles about U.S. politics, and focus on two research questions: (1) Do contributors display tendencies to contribute to topics with similar or opposing bias and slant? (2) Do contributors learn from experience with extreme or neutral content, and does that experience change the slant and bias of their contributions over time? Despite heterogeneity in contributors and their contributions, we find an overall trend towards less segregated conversations. Contributors tend to edit articles with slants that are the opposite of their own views, and the slant from experienced contributors becomes less extreme over time. The experienced contributors with the most extreme biases decline the most. We also find some significant differences between Republicans and Democrats.","PeriodicalId":101668,"journal":{"name":"ERN: Social Inclusion (Including Discrimination Testing) (Sub-Topic)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115872102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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