Teaching High School Cultural Studies in the Age of Trump by DJ Cashmere

“…The essay describes teaching the course during the semester of the 2016 U.S. Presidential election.…”
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What Is (Fake) News? Analyzing News Values (and More) in Fake Stories by Edson C. Tandoc Jr., Ryan J. Thomas, Lauren Bishop

“…‘Fake news’ has been a topic of controversy during and following the 2016 U.S. presidential election. Much of the scholarship on it to date has focused on the ‘fakeness’ of fake news, illuminating the kinds of deception involved and the motivations of those who deceive. …”
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Historical Amnesia: British and U.S. Intelligence, Past and Present by Calder Walton

“…Many intelligence scandals in the news today seem unprecedented - from Russian meddling in the 2016 U.S. Presidential election, to British and U.S. intelligence agencies monitoring activities of their citizens. …”
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“FAKE NEWS” IN TIMES OF CRISIS IN THE CONTEXT OF ARTICLE 10 OF THE EUROPEAN CONVENTION ON HUMAN RIGHTS by Davor Muhvić, Ivana Rešetar Čulo

“…Although these phenomena are not new, the impact they have had in recent years on political processes in democratic societies (e.g. the 2016 U.S. presidential election and Brexit) and on human behavior during the COVID-19 pandemic, has drawn attention to this issue. …”
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The case for foreign electoral subversion by Fabre, C

“…It is widely alleged that President Putin's regime attempted to exercise influence on the 2016 U.S. presidential election. It is known that its Soviet predecessors funded Western communist parties for decades as a means to undermine noncommunist regimes. …”

Of supranodes and socialwashing: network theory and the responsible innovation of social media platforms by Patrick McHugh, Elise Perrault

“…Through a case study analysis of Russian social media interference in the 2016 U.S. presidential election, the value of a network theoretic lens is highlighted. …”
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Social Media Expression and User Predispositions: Applying the Differential Susceptibility to Media Effects Model to the Study of Issue Polarization by Stewart M. Coles, Muniba Saleem

“…In a survey of social media users conducted during the 2016 U.S. presidential election, we find that racial resentment moderates the relationship between social media expression and support for racial justice movements. …”
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Donald Trump’s public position on Russia and Ukraine in February 2014–November 2016 by Nataliya Gorodnia, Vladyslav Chubara

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Prevalence and Propagation of Fake News by Banafsheh Behzad, Bhavana Bheem, Daniela Elizondo, Susan Martonosi

“…For example, the propagation of fake news on social media is widely believed to have influenced the outcome of national elections, including the 2016 U.S. Presidential Election, and the 2020 COVID-19 pandemic. …”
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Linguistic Analysis of News Title Strategies in Media Frame—A Case Study of “The Mueller Investigation” in the News Titles of <i>The New York Times</i> and Fox News by Hairuo Wang

“…The United States Federal Bureau of Investigation had been investigating the relationship between Russian agents and members of Trump’s presidential campaign since July 2016 out of suspicions that the President-elect worked with Russia to interfere in the 2016 U.S. presidential election, which became a major news event in American media. …”
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Prototypicality threat drives support for nativist politics in U.S. and U.K. elections by Felix Danbold, Jesús Serrano-Careaga, Yuen J. Huo

“…Across eight years, five studies, two nations, and four electoral contexts (White Americans’ support for Trump in the 2016 U.S. Presidential Election; White Britons’ support for the 2016 Brexit Referendum; White Americans’ support for Congressional candidates in 2018 U.S. …”
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(Un)Happiness and voting in U.S. Presidential elections by Ward, G, De Neve, J-E, Ungar, LH, Eichstaedt, JC

“…A rapidly growing literature has attempted to explain Donald Trump's success in the 2016 U.S. presidential election as a result of a wide variety of differences in individual characteristics, attitudes, and social processes. …”

Time Does Tell: An Analysis of Observable Audience Responses From the 2016 American Presidential Campaigns by Ewan J. K. Goode, Peter Bull

“…In this study a microanalysis of OAR (Observable Audience Responses) in the 2016 U.S. Presidential Election was conducted. OAR were coded into dimensions including response rate (frequency per minute), response type, and categorised as either a unitary (a single response), composite (two or more simultaneous response types) or sequential (a unitary or composite response that is followed by a different response type) response form. …”
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Combining Post Sentiments and User Participation for Extracting Public Stances from Twitter by Jenq-Haur Wang, Ting-Wei Liu, Xiong Luo

“…In the experiments, we evaluated the performance of our proposed approach for tweets about the 2016 U.S. Presidential Election. The best performance of sentiment classification can be observed with an F-measure of 72.97% for LSTM classifiers. …”
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Bernoulli Ballot Polling: A Manifest Improvement for Risk-Limiting Audits by Ottoboni, Kellie, Bernhard, Matthew, Halderman, J. Alex, Rivest, Ronald L, Stark, Philip B.

“…If the reported margins for the 2016 U.S. Presidential election are correct, a Bernoulli ballot-polling audit with a risk limit of 5% and a sampling rate of p0=1% would have had at least a 99% probability of confirming the outcome in 42 states. …”
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What is (fake) news? Analyzing news values (and more) in fake stories by Tandoc, Edson C., Thomas, Ryan J., Bishop, Lauren

“…‘Fake news’ has been a topic of controversy during and following the 2016 U.S. presidential election. Much of the scholarship on it to date has focused on the ‘fakeness’ of fake news, illuminating the kinds of deception involved and the motivations of those who deceive. …”
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Epigenetics as a Mechanism of Developmental Embodiment of Stress, Resilience, and Cardiometabolic Risk Across Generations of Latinx Immigrant Families by Elizabeth S. Clausing, Amy L. Non

“…We compared stress and resilience factors reported by Latina immigrant mothers and their children (aged 5–13) from two time points spanning the 2016 U.S. presidential election (June 2015–June 2016 baseline, n = 81; March–September 2018 follow-up, n = 39) with cardiometabolic risk markers (BMI, waist circumference, and blood pressure). …”
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Identifying and assessing coordinated influence campaigns on social networks by Mesnards, Nicolas Guenon des.

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Detecting and analyzing bursty events on Twitter by Kung, Pau Perng-Hwa

“…Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016.…”
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Life expectancy and voting patterns in the 2020 U.S. presidential election by Lesley H. Curtis, Molly N. Hoffman, Robert M. Califf, Bradley G. Hammill

“…Introduction: In the 2016 U.S. Presidential election, voters in communities with recent stagnation or decline in life expectancy were more likely to vote for the Republican candidate than in prior Presidential elections. …”
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