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- Creator:
- Schöpke-Gonzalez, Angela M., Thomer, Andrea K., and Conway, Paul
- Description:
- This interview protocol was designed to investigate the research question: How do self-identified refugees in the receiving societies of Greece and Germany engage with information spaces to navigate identity during liminal and post-liminal portions of their refugee experiences?
- Keyword:
- information space, identity, liminality, and migration
- Citation to related publication:
- Schöpke-Gonzalez, A., Thomer, A., & Conway, P. (2020). Identity Navigation During Refugee Experiences: The International Journal of Information, Diversity, & Inclusion (IJIDI), 4(2), 36–67. https://doi.org/10.33137/ijidi.v4i2.33151
- Discipline:
- Social Sciences
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- Creator:
- Budak, Ceren, Goel, Sharad, and Rao, Justin M
- Description:
- Our primary analysis is based on articles published in 2013 by the top thirteen US news outlets and two popular political blogs. To compile the set of articles published by these outlets, we first examined the complete web-browsing records for US-located users who installed the Bing Toolbar, an optional add-on application for the Internet Explorer web browser. For each of the fifteen news sites, we recorded all unique URLs that were visited by at least ten toolbar users, and we then crawled the news sites to obtain the full article title and text. This process resulted in a corpus of 803,146 articles published on the fifteen news sites over the course of a year, with each article annotated with its relative popularity. , Next, we built two binary classifiers using large-scale logistic regression. The first classifier—which we refer to as the news classifier —identifies “news” articles (i.e., articles that would typically appear in the front section of a traditional newspaper). The second classifier—the politics classifier —identifies political news from the subset of articles identified as news by the first classifier. 340,191 (42 percent) were classified as news. On the set of 340,191 news articles, 114,814 (34 percent) were classified as political. , Having identified approximately 115,000 political news articles, we next seek to categorize the articles by topic (e.g., gay rights, healthcare, etc.), and to quantify the political slant of the article. To do so, we turn to human judges recruited via Mechanical Turk to analyze the articles. For every day in 2013, we randomly selected two political articles, when available, from each of the 15 outlets we study, with sampling weights equal to the number of times the article was visited by our panel of toolbar users., Amazon Mechanical Turk Labeling task: To detect and control for possible preconceptions of an outlet’s ideological slant, workers, upon first entering the experiment, were randomly assigned to either a blinded or unblinded condition. In the blinded condition, workers were presented with only the article’s title and text, whereas in the unblinded condition, they were additionally shown the name of the outlet in which the article was published. Each article was then analyzed by two workers, one each from the sets of workers in the two conditions. For each article, each worker completed the following three tasks. First, they provided primary and secondary article classifications from a list of fifteen topics: (1) civil rights; (2) Democrat scandals; (3) drugs; (4) economy; (5) education; (6) elections; (7) environment; (8) gay rights; (9) gun-related crimes; (10) gun rights/regulation; (11) healthcare; (12) international news; (13) national security; (14) Republican scandals; and (15) other. , and Second, workers determined whether the article was descriptive news or opinion. Third, to measure ideological slant, workers were asked, “Is the article generally positive, neutral, or negative toward members of the Democratic Party?” and separately, “Is the article generally positive, neutral, or negative toward members of the Republican Party?” Choices for these last two questions were provided on a five-point scale: very positive, somewhat positive, neutral, somewhat negative, and very negative. To mitigate question-ordering effects, workers were initially randomly assigned to being asked either the Democratic or Republican party question first; the question order remained the same for any subsequent articles the worker rated. Finally, we assigned each article a partisanship score between –1 and 1, where a negative rating indicates that the article is net left-leaning and a positive rating indicates that it is net right-leaning. Specifically, for an article’s depiction of the Democratic Party, the five-point scale from very positive to very negative is encoded as –1, –0.5, 0, 0.5, 1. Analogously, for an article’s depiction of the Republican Party, the scale is encoded as 1, 0.5, 0, –.0.5, –1. The score for each article is defined as the average over these two ratings. Thus, an average score of –1, for example, indicates that the article is very positive toward Democrats and very negative toward Republicans. The result of this procedure is a large, representative sample of political news articles, with direct human judgments on partisanship and article topic.
- Keyword:
- news media, media bias, crowdsourcing, and machine learning
- Citation to related publication:
- https://academic.oup.com/poq/article-abstract/80/S1/250/2223443/?redirectedFrom=fulltext and Ceren Budak, Sharad Goel, Justin M. Rao, Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis, Public Opinion Quarterly, Volume 80, Issue S1, 2016, Pages 250–271, https://doi.org/10.1093/poq/nfw007
- Discipline:
- Social Sciences
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- Creator:
- Benjamin Leffel
- Description:
- Time series dataset of adoption by year of climate action plans by 177 U.S. cities, 2010-2019, with links to plans included. This dataset is intended for use by researchers and practitioners investigating both individual climate action plans and time series patterns of adoption at the municipal level.
- Keyword:
- climate change, climate action plan, municipal, and Urban Sustainability Research Group
- Discipline:
- Social Sciences and Government, Politics and Law
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- Creator:
- Teplitskiy, Misha, Peng, Hao, Blasco, Andrea, and Lakhani, Karim R.
- Description:
- The data sources and methods used to process the raw data are described in the paper www.doi.org/10.1073/pnas.2118046119 and the associated Supplementary Information. These data are anonymized (see Methodology for details). Consequently, running the same code on these data vs. the data in the paper does not yield *identical* results but qualitatively similar ones.
- Citation to related publication:
- www.doi.org/10.1073/pnas.2118046119
- Discipline:
- Social Sciences
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- Creator:
- Quarles, Christopher L.
- Description:
- Student capital is the set of skills, traits, and resources that an individual can draw upon to be successful in school. With dropout rates around 50%, community college students often don't have enough student capital to achieve their goals. The R code in this dataset estimates the average student capital of a group of community college students using data on their total credits and academic outcomes. It also contains R code to create figures, as found in the paper "The Shape of Educational Inequality" by Quarles, Budak & Resnick.
- Keyword:
- education, community college, and maximum likelihood estimation
- Citation to related publication:
- Quarles, C. L., Budak, C., Resnick, P. (2020). The shape of educational inequality. Science Advances. 6(29). https://doi.org/10.1126/sciadv.aaz5954
- Discipline:
- Social Sciences
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- Creator:
- Gosner, Linda R., Nowlin, Jessica, and Smith, Alexander J.
- Description:
- Included here are 1) a detailed description of each of the dataset’s components, 2) a database of finds from the survey, 3) databases of the faunal bone studied by specialist Damià Ramis, 4) notes and documentation made in the field, 5) excavation photographs 6) artifact photographs.
- Keyword:
- Sardinia, Mediterranean archaeology, archaeological survey, excavation, and Classical archaeology
- Citation to related publication:
- Dommelen, Peter van, Enrique Díes Cusí, Linda R. Gosner, Jeremy Hayne, Guillem Pérez-Jordà, Damià Ramis, Andrea Roppa, and Alfonso Stiglitz. 2018. “Un millennio di storie: nuove notizie preliminari sul Progetto S’Urachi (San Vero Milis, OR), 2016-2018.” Quaderni. Rivista di Archeologia 29: 141–65. https://www.quaderniarcheocaor.beniculturali.it/index.php/qua/article/view/46, Gosner, Linda R., and Alexander J. Smith. 2018. “Landscape Use and Local Settlement at the Nuraghe S’Urachi (West-Central Sardinia): Results from the First Two Seasons of Site Survey.” Fasti Online Documents & Research: Survey Series, no. 7: 1–27. www.fastionline.org/docs/FOLDER-sur-2018-7.pdf., Gosner, Linda R., Jeremy Hayne, Emanuele Madrigali, Jessica Nowlin. 2020. New Evidence for Local Continuity and Phoenician Influence in the Ceramic Assemblage from Iron Age Su Padrigheddu (West-Central Sardinia). Proceedings of the IX Congreso de Estudios Fenicios y Púnicos. Myrta 5: 1649-1657. https://scholars.ttu.edu/en/publications/new-evidence-for-local-continuity-and-phoenician-influence-in-the, Madrigali, Emanuele, Linda R. Gosner, Jeremy Hayne, Jessica Nowlin, and Damià Ramis. 2019. “Tradizioni e interazioni nella quotidianità dell’età del ferro. nuove evidenze da Su Padrigheddu (San Vero Milis, OR).” Quaderni. Rivista di Archeologia 30: 107–26. https://scholars.ttu.edu/en/publications/tradizioni-e-interazioni-nella-quotidianit%C3%A0-dellet%C3%A0-del-ferro-nuo, Stiglitz, Alfonso, Enrique Díes Cusí, Damià Ramis, Andrea Roppa, and Peter van Dommelen. 2015. “Intorno al nuraghe: notizie preliminari sul Progetto S’Urachi (San Vero Milis, OR).” Quaderni. Rivista di Archeologia 26: 191–218., and Gosner, Linda R., Jessica Nowlin, and Alexander J. Smith. in preparation. Ground-truthing the Site-based Survey at S’Urachi and Su Padrigheddu (West-Central Sardinia): Results of the 2016 and 2017 Seasons.
- Discipline:
- Social Sciences
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- Creator:
- Benjamin Leffel
- Description:
- Data were gathered to test three hypotheses on the impact economic growth has on environmental conditions in urban areas. The three hypotheses are: 1. Income will be associated with reductions in PM2.5, PM10, NO2 and SO2. 2. Public Administration GVA will be associated with reductions in PM2.5, PM10, NO2 and SO2. 3. Urban density will be associated with reductions in PM2.5, PM10, NO2 and SO2. More information about the research and the data can be found in: Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349.
- Keyword:
- global cities, environment, urban, air pollution, income, Urban Sustainability Research Group, and student-friendly
- Citation to related publication:
- Benjamin Leffel, Nikki Tavasoli, Brantley Liddle, Kent Henderson & Sabrina Kiernan (2021) Metropolitan air pollution abatement and industrial growth: Global urban panel analysis of PM10, PM2.5, NO2 and SO2, Environmental Sociology, DOI: 10.1080/23251042.2021.1975349
- Discipline:
- Social Sciences
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- Creator:
- Moser, Carol, Schoenebeck, Sarita Y., and Resnick, Paul
- Description:
- This work investigates what features e-commerce sites use to encourage impulse buying and what tools consumers desire to curb their online spending. We present supplementary material for two studies: (1) a systematic content analysis of 200 top e-commerce websites in the U.S. and (2) a survey of online impulse buyers (N=151). Files include: (1) Study 1 Code book for content analysis of websites (2) Study 1 CSV data file resulting from the content analysis (3) Study 1 PDFs (N=200) of e-commerce websites analyzed (4) Study 2 Online survey questionnaire (5) Study 2 Survey code book for free response questions
- Citation to related publication:
- Moser, C., Schoenebeck, S.Y., Resnick, P., 2019. Impulse Buying: Design Practices and Consumer Needs, in: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI ’19. Association for Computing Machinery, Glasgow, Scotland, UK, pp. 1–15. https://doi.org/10.1145/3290605.3300472
- Discipline:
- Social Sciences
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- Creator:
- Platt, Edward L.
- Description:
- We analyzed the structure of English language WikiProject coeditor networks and compare to the efficiency and performance of those projects. The list of WikiProjects give an integer key, title, and unique URL for each project. The network files are indexed by the integer keys. The quality assessment logs are indexed by project title and article title. and Curation Notes: Readme file was updated Oct. 11, 2018 to include additional context on research, file contents, and organization (see first section of readme), and explanation of additional license in the deposit referring to the 'logbook' module.
- Keyword:
- wikipedia
- Citation to related publication:
- Platt, E. L., Romero, D. M. (2018). Network Structure, Efficiency, and Performance In WikiProjects. In ICWSM. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17901
- Discipline:
- Social Sciences
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- Creator:
- de Oliveira, Stephanie and Nisbett, Richard E.
- Description:
- These studies assess the effect of social identity on judgement and are described in "Demographically diverse crowds are typically not much wiser than homogeneous crowds" (de Oliveira, S., & Nisbett, R. E. Proceedings of the National Academy of Sciences, 2018) and the article’s Supporting Information appendix. Some studies use a variety of questions to assess multiple social identity factors; the other studies are narrowed to particular social identity variables. Each study includes some type of estimation or prediction task, collects social identity variables, and asks participants to indicate their answer strategies. Study 1 is a trivia and prediction task based on football team fan identity. Study 2 reports on demographics plus political and religious identity and asks participants to predict vote percentages in presidential primaries. Study 3 participants estimate the percentage of Americans that support statements on various polarizing political views and give likelihood ratings for presidential candidates to win the Iowa caucus; a variety of identity questions are asked including political and religious identity. Study 4 includes demographics plus political and religious identity questions and asks participants to predict how the candidates would perform in the 2016 United States presidential election. Study 5 asks participants to guess the popularity rating of books that had either gender-specific or gender-neutral appeal, and also to rate their own interest in the books. Demographic-based social identity variables such as sex are included. Study 6 includes a wide variety of social identity variables and asks participants to estimate the likelihood of events occurring in the near future. Study 7 participants are from diverse national backgrounds and completed judgement tasks that predicted stock prices, Olympic performance, and news events outcomes. The data are generally interpretable when examined in conjunction with the target article. A new data file for Study 6 was uploaded on April 4, 2018 to include variables that were inadvertently left out of the original Study 6 file. A new data file for Study 7 was uploaded on April 6, 2018 to include variables that were inadvertently left out of the original Study 7 file. A codebook for this data set was added on April 6, 2018.
- Keyword:
- Judgment/Decision Making and Estimate aggregation
- Citation to related publication:
- Demographically diverse crowds are typically not much wiser than homogeneous crowds. Stephanie de Oliveira Richard E Nisbett Proceedings of the National Academy of Sciences of the United States of America vol. 115 issue 9 (2018) pp: 2066-2071. https://doi.org/10.1073/pnas.1717632115
- Discipline:
- Social Sciences