Browsing by Subject "elections"

Now showing 1 - 7 of 7
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    Charitable Giving Around the 2016 Election: Does Gender Matter?
    (2018-10-09) Osili, Una; Mesch, Debra; Ackerman, Jacqueline; Pactor, Andrea; Bergdoll, Jonathan
    This study aims to provide insights on donations during the unique time period around the 2016 U.S. presidential election, using gift data from an online donation platform. Did giving to charitable organizations increase after the election? What causes benefited from post-election philanthropy? This study also seeks to understand whether there were gender differences in giving around the 2016 U.S. presidential election.
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    Giving Voice beyond Her Vote: How Women Used Charitable Giving to Create Social Change after the 2016 U.S. Presidential Election
    (De Gruyter, 2020-07) Mesch, Debra J.; Osili, Una O.; Bergdoll, Jonathan J.; Skidmore, Tessa B.; Ackerman, Jacqueline E.; Han, Xiao; Lilly Family School of Philanthropy
    This study fills a gap in research on the philanthropic outcomes of political events. More specifically, it provides empirical evidence to supplement anecdotal reports that nonprofit organizations experienced a substantial increase in donations following the 2016 U.S. presidential election. Based on daily transaction data from an online giving platform, the study uses random-effect panel Ordinary Least Squares models to examine whether and how charitable giving patterns changed after Election Day 2016. Overall, our analyses show no evidence of increased giving due to the election; however, gender differences are apparent. Women donated in greater amounts than men following Election Day, and they appear to have targeted relevant progressive charities with their giving.
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    Hawkes binomial topic model with applications to coupled conflict-Twitter data
    (Project Euclid, 2020-12) Mohler, George; McGrath, Erin; Buntain, Cody; LaFree, Gary; Computer and Information Science, School of Science
    We consider the problem of modeling and clustering heterogeneous event data arising from coupled conflict event and social media data sets. In this setting conflict events trigger responses on social media, and, at the same time, signals of grievance detected in social media may serve as leading indicators for subsequent conflict events. For this purpose we introduce the Hawkes Binomial Topic Model (HBTM) where marks, Tweets and conflict event descriptions are represented as bags of words following a Binomial distribution. When viewed as a branching process, the daughter event bag of words is generated by randomly turning on/off parent words through independent Bernoulli random variables. We then use expectation–maximization to estimate the model parameters and branching structure of the process. The inferred branching structure is then used for topic cascade detection, short-term forecasting, and investigating the causal dependence of grievance on social media and conflict events in recent elections in Nigeria and Kenya.
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    Liberalizing American Voting Laws: Institutionally Increasing Voter Turnout
    (2012-03-19) Hostetter, Joshua Daniel; Ferguson, Margaret Robertson; Dusso, Aaron P.; McCormick, John, 1954-
    This paper expands previous research analyzing the impact voting laws have on voter turnout in national elections in the United States. I analyzed voter turnout in the 2008 Presidential Election and the 2010 off year election in all fifty states to see if voting restrictions declined turnout. My results show evidence that the further away from Election Day voter registration ends, the lower voter turnout a state can expect. I also found laws requiring employers to allow employees time off work to vote on Election Day had lower voter turnout rates than the states allowing employer discretion to determine whether an employee can take time off work to vote. Lastly, my paper shows evidence allowing anyone to vote by mail had a significant increase in the 2008 Presidential Election voter turnout rates compared to states requiring an excuse. However, I did not find any statistical significance in the 2010 off year election.
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    Regime fatigue : a cognitive-psychological model for identifying a socialized negativity effect in U.S. Senatorial and Gubernatorial elections from 1960-2008
    (2014-07-11) Giles, Clark Andrew; Weiden, David L.; Ferguson, Margaret Robertson; Dusso, Aaron
    This research project proposes to try to isolate and measure the influence of “regime fatigue” on gubernatorial elections and senatorial elections in the United States where there is no incumbent running. The research begins with a review of the negativity effect and its potential influence on schema-based impression forming by voters. Applicable literature on the topics of social clustering and homophily is then highlighted as it provides the vehicle through which the negativity effect disseminates across collections of socially-clustered individuals and ultimately contributes to changing tides of public opinion despite the fact that the political party identification can remain relatively fixed in the aggregate.