How Did That Happen?: Making Sense of the 2016 US Presidential
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(Totally Insane, Unintentionally Gigantic, Hyperpartisan) Political-Media Machine How a Strange New Class of Media Outlet Has Arisen to Take Over Our News Feeds
Inside Facebook’s (Totally Insane, Unintentionally Gigantic, Hy... http://www.nytimes.com/2016/08/28/magazine/inside-facebooks... http://nyti.ms/2bzePnO Inside Facebook’s (Totally Insane, Unintentionally Gigantic, Hyperpartisan) Political-Media Machine How a strange new class of media outlet has arisen to take over our news feeds. By JOHN HERRMAN AUG. 24, 2016 Open your Facebook feed. What do you see? A photo of a close friend’s child. An automatically generated slide show commemorating six years of friendship between two acquaintances. An eerily on-target ad for something you’ve been meaning to buy. A funny video. A sad video. A recently live video. Lots of video; more video than you remember from before. A somewhat less-on-target ad. Someone you saw yesterday feeling blessed. Someone you haven’t seen in 10 years feeling worried. And then: A family member who loves politics asking, “Is this really who we want to be president?” A co-worker, whom you’ve never heard talk about politics, asking the same about a different candidate. A story about Donald Trump that “just can’t be true” in a figurative sense. A story about Donald Trump that “just can’t be true” in a literal sense. A video of Bernie Sanders speaking, overlaid with text, shared from a source you’ve never seen before, viewed 15 million times. An article questioning Hillary Clinton’s honesty; a headline questioning Donald Trump’s sanity. A few shares that go a bit too far: headlines you would never pass along yourself but that you might tap, read and probably not forget. -
Denotation and Connotation in Hillary Clinton and Donald Trump: Discourse Analysis of the 2016 Presidential Debates
UNIVERSIDAD PONTIFICIA COMILLAS Facultad de Ciencias Humanas y Sociales Degree in Translation and Interpreting Final Degree Project Denotation and Connotation in Hillary Clinton and Donald Trump: Discourse analysis of the 2016 presidential debates Student: Markel Lezana Escribano Director: Dr Susan Jeffrey Campbell Madrid, 8th June 2017 Index List of Tables…………………………………………………………………………….i 1. Introduction .............................................................................................................. 3 2. Theoretical Framework............................................................................................. 5 2.1 Semantics ................................................................................................................ 5 2.2 Discourse Analysis ................................................................................................. 9 2.2.1 Functional Discourse Analysis ........................................................................ 9 2.2.2 Critical Discourse Analysis ........................................................................... 10 2.2.3 Political Discourse Analysis .......................................................................... 10 2.3 Pragmatics ............................................................................................................ 10 2.4 Tools of Analysis .................................................................................................. 11 2.4.1 Functions of Language ................................................................................. -
LANGUAGE and TRANSLATION an Introduction to Language and Translation for Global Online Communications, Localized Websites and International Social Media
LANGUAGE AND TRANSLATION An introduction to language and translation for global online communications, localized websites and international social media www.ibt.onl An IBT Online ebook publication© Inside your Ebook IBT Online : Go Global with Website Localization WHO SHOULD BE READING THIS EBOOK? 3 LANGUAGE IN THE WORLD 4 LANGUAGE IN EUROPE AND NORTH AMERICA 5 TRANSLATION INDUSTRY 6 TRANSLATION SUPPLIERS 7 TRANSLATION SERVICES 8 TRANSLATION TECHNOLOGY 10 TRANSLATION ONLINE (WEB PAGES, PRESENCE, HOSTING) 13 TRANSLATION ONLINE (SEARCH ENGINE OPTIMIZATION, 15 SOCIAL MEDIA) TRANSLATION TOP TEN TRENDS 19 NEXT STEPS AND ABOUT IBT ONLINE 21 Produced by IBT Online publications team. More resources available at: www.ibt.onl/resources www.ibt.onl Language and Translation 2 Who should be reading this? This ebook provides an introduction to language and translation for global online communications used for localized websites and international social media You should be reading this ebook, if you want an introduction to: Languages used for online communications, social media, localized websites and search engine optimization The translation service industry Translation suppliers and services Translation technologies Translation online This ebook is designed for business owners, marketing directors, international business development managers who are looking to grow their exports and business globally and would like guidance on how to manage language and translation in their target markets. This ebook is both informative and practical. It will -
Online Media and the 2016 US Presidential Election
Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Faris, Robert M., Hal Roberts, Bruce Etling, Nikki Bourassa, Ethan Zuckerman, and Yochai Benkler. 2017. Partisanship, Propaganda, and Disinformation: Online Media and the 2016 U.S. Presidential Election. Berkman Klein Center for Internet & Society Research Paper. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33759251 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA AUGUST 2017 PARTISANSHIP, Robert Faris Hal Roberts PROPAGANDA, & Bruce Etling Nikki Bourassa DISINFORMATION Ethan Zuckerman Yochai Benkler Online Media & the 2016 U.S. Presidential Election ACKNOWLEDGMENTS This paper is the result of months of effort and has only come to be as a result of the generous input of many people from the Berkman Klein Center and beyond. Jonas Kaiser and Paola Villarreal expanded our thinking around methods and interpretation. Brendan Roach provided excellent research assistance. Rebekah Heacock Jones helped get this research off the ground, and Justin Clark helped bring it home. We are grateful to Gretchen Weber, David Talbot, and Daniel Dennis Jones for their assistance in the production and publication of this study. This paper has also benefited from contributions of many outside the Berkman Klein community. The entire Media Cloud team at the Center for Civic Media at MIT’s Media Lab has been essential to this research. -
Using Neural Networks to Predict Emoji Usage from Twitter Data
Using Neural Networks to Predict Emoji Usage from Twitter Data Luda Zhao Connie Zeng Stanford University Stanford University [email protected] [email protected] Abstract As emojis have emerged as an increasingly important and standardized part of modern textual inputs, analyzing their usage patterns are becoming of great inter- est to any modern text system. We frame this investigation as a text classification problem, mapping input text to their most likely accompanying emoji, utilizing 1.5 million scraped Twitter tweets for our training set. Both our LSTM-RNN model and our CNN model outperform our baseline, although the CNN model surprisingly achieves much better accuracy and F1 results. We conclude the paper by proposing future works in this area. 1 Introduction With the rise of mobile devices and chat apps, emojis have become an increasingly important part of written language. The ‘Face with Tears of Joy’( ) emoji was even selected as the Oxford Dic- tionaries Word of the Year in 2015[1]. To keep up with the evolution of language, we should be able to model emoji usage based on trends seen on Twitter, Reddit, and other online Social Networks. In addition, the standardization of emojis in the Unicode Standard has ushered in more standardized usage patterns in the different social networks, which makes modeling usage patterns a significantly more tractable problem. As one of the largest social network platforms, Twitter has had a long history with emojis, and currently, around 19.6% of all generic tweets on Twitter contains emoji[2]. The high frequency of emoji usage and the diversity of topics makes Twitter an ideal data source for building a model for emoji usage. -
News Diaries Analysis
News Diaries Analysis Group 1 DISCLAIMER Heightened political news causes -American Inauguration -Women’s March Languages Allexa & Sage How often do students consume news? More than 80 % of the students consume time between 2pm till 10pm on social media. Leaving only 15 - 20 % to consume time between 12:00-10:00 am. This brings us to the point that the most repeated times consumed by students are the following: Morning: Afternoon: Evening: Night: 8:00 Am 2:00pm 6:00pm 8:00pm 9:00 Am 2:30pm 6:30pm 8:15pm 9:30 Am 5:00pm 7:15pm 8:30pm 10:00Am 9:00pm 10:00pm Fernanda & Malak News Sources - Social Media - FACEBOOK, INSTAGRAM, SNAPCHAT, TWITTER - News apps - The iPhone News app, Reddit, BBC, CNN, News Digest app - Specific Google searches - TV & Radio & Podcasts - Printed News Fiona & Margaret News Sources Graphs -- 1st Source Fiona & Margaret News Sources Graphs -- 2nd Source Fiona & Margaret Different National Sources US FR UK Forbes Le Monde The Guardian Huffington Post Vogue BBC NY Times Telegraph.co.uk CNN The Independent Washington Post Daily Mail National Geographic NBC Flipboard Buzzfeed News Georgia Cosmopolitan Boston Globe Talk show Vanity Fair Yahoo News (News Digest) The Atlantic Democracy Now CBS Vogue Hollywood Reporter Allexa & Sage National News Sources ● More than half of the news sources come from the United States ● 95% of the sources were online or television ● One print sources Allexa & Sage How are students alerted to news? Four main factors influence the way in which students are alerted to news: Social media presence and usage Accessibility to different media Reaction to images/image based media Apps on mobile phones Fernanda & Malak Tendencies and Trends: Hard News & Soft News -During this time period, more hard news was consumed than soft news in social media outlets -Effects of current events for the viewer -Current event leads shift in tendencies Allexa & Sage Awareness of Algorithms, Fake News, Bias Confirmation - Algorithms - Social Media & Search Engines, etc. -
Words of an Unprecedented Year * Words Assigned to the Month in Which They Reached Their Peak Frequency of Usage
Words of an unprecedented year * Words assigned to the month in which they reached their peak frequency of usage. Source: Oxford Monitor corpus. Jan Words of an unprecedented year Bushfire One of the defining climatic events of the end of Impeachment 2019 and beginning of 2020 was the Australian A hot topic in January when the trial to impeach bushfire season, the worst on record. Donald Trump began. Feb Acquittal Peaked in February at the conclusion of Donald Trump’s impeachment trial. Mar Coronavirus One of the more dramatic examples of increased usage, by March this year it was one of the most frequently used nouns in the English language, after Covid-19 being used to designate the SARS-CoV-2 virus. A completely new word this year, first recorded in a report by the World Health Organization as an abbreviation of coronavirus disease 2019. It quickly overtook coronavirus in frequency. Apr Lockdown The preferred term in most Anglophone countries, including the United Kingdom, Canada, and Australia, for government-enforced quarantine measures in response to the spread of Covid-19. Social Distancing Surged in frequency as governments across the world introduced measures to reduce the spread of Covid-19. May Reopening Towards the Northern Hemisphere summer more hopeful words increased in frequency, including reopening (of shops, businesses, etc.) Jun Black Lives Matter Exploded in usage beginning in June of this year, remaining at elevated levels for the rest of the year as protests against law enforcement agencies over the killings of George Floyd, Breonna Taylor, and other black Americans took root in communities across the United States and across the world. -
Understanding and Undermining Fake News from the Classroom Adam Rosenzweig1 Beyond 12
Available online at http://escholarship.org/uc/ucbgse_bre Understanding and Undermining Fake News From the Classroom Adam Rosenzweig1 Beyond 12 Fake News and the Post-Truth Era It’s too soon to know what will define Donald Trump’s presidency, but one of the defining characteristics of his campaign was a near-total disregard for facts. According to PolitiFact (“Donald Trump’s file,” n.d.), about 70% of Trump’s statements have been either mostly false, completely false, or outright lies. Candidate Trump wasn’t the only one dealing in dishonesty, but the ubiquity of falsehood surrounding his election contributed to the Oxford Dictionaries naming post-truth its 2016 Word of the Year. Fake news (Drobnic Holan, 2016) might be the most pernicious form of post-truth. PolitiFact called fake news its Lie of the Year, pointing out that fake news is “the boldest sign of a post-truth society” (para. 12) and that it “found a willing enabler in Trump” (para. 8). Americans should perceive this phenomenon as an existential threat to democracy. What truths remain self-evident if truth itself becomes counterfeit? A post- truth society has no moral center, no basis for conversation, no shared future. If the Trump era is to be the era of post-truth, then schools will have a particularly critical role to play in teaching students to favor reason and evidence over sentiment and preconception. More simply, we need to get better at teaching what Carl Sagan (1995) called “the fine art of baloney detection” (p. 201). Educators must also help students explore and deliberate on political issues. -
Detecting Group Beliefs Related to 2018'S Brazilian Elections in Tweets
Detecting Group Beliefs Related to 2018's Brazilian Elections in Tweets: A Combined Study on Modeling Topics and Sentiment Analysis Brenda Salenave Santana1[0000−0002−4853−5966] and Aline Aver Vanin2[0000−0002−9984−6043] 1 Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil [email protected] 2 Departament of Education and Humanities, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil [email protected] Abstract. 2018's Brazilian presidential elections highlighted the influ- ence of alternative media and social networks, such as Twitter. In this work, we perform an analysis covering politically motivated discourses related to the second round in Brazilian elections. In order to verify whether similar discourses reinforce group engagement to personal be- liefs, we collected a set of tweets related to political hashtags at that moment. To this end, we have used a combination of topic modeling approach with opinion mining techniques to analyze the motivated po- litical discourses. Using SentiLex-PT, a Portuguese sentiment lexicon, we extracted from the dataset the top 5 most frequent group of words related to opinions. Applying a bag-of-words model, the cosine similar- ity calculation was performed between each opinion and the observed groups. This study allowed us to observe an exacerbated use of passion- ate discourses in the digital political scenario as a form of appreciation and engagement to the groups which convey similar beliefs. Keywords: Brazilian elections · Sentiment analysis · Twitter · Dis- course engagement · Non-human interactions. 1 Introduction In 2016 the Oxford Dictionaries [19] chose post-truth as the word of the year. -
Truth of Humanity Yom Kippur 5779 Rabbi Benjamin H. Spratt in August of 1988, Two College Juniors Founded a Comedic Newspaper
Truth of Humanity Yom Kippur 5779 Rabbi Benjamin H. Spratt In August of 1988, two college juniors founded a comedic newspaper. They called their creation The Onion. 30 years later, the paper is a national juggernaut, surfacing satirical critiques of nearly everyone and everything. From challenging our obsession with scientific research and statistics: World Death Rate Holding Steady at 100 Percent Study Reveals: Babies Are Stupid To hilarious and scathing jabs at our society: Area Liberal No Longer Recognizes Fanciful, Wildly Inaccurate Mental Picture of Country He Lives In In its 3 decades of existence, one of the most-read headlines regarding The Onion actually came from its readership this past year, declaring, “The Onion on the Verge of Bankruptcy As Reality Eclipses Satirical Absurdity”. Shakespeare asked the question, “Is not the truth the truth?”1 What was once a rhetorical query is now debatable. In 2016, the Oxford Dictionary Word of the Year was “post-truth.”2 Plenty has been written about “truthiness” and “alternative facts” and “fake news.” In an era in which most of us have come to assume all politicians are liars, any news source is biased, and statistics are tools of manipulation, the image of this season as we stand before the Judge of Truth holds new weight. The results are apparent in the fractures and factions of our nation. Since its inception in 1972, the General Social Survey indicates American trust of fellow Americans is at a historic low.3 Confidence in institutions, in scientists, in religion has never been lower. And according to Pew Research, the political partisan polarization is wider than it has been since 1879, the earliest year for which there is data.4 For many of us, we feel all of this in the most personal of ways. -
Margaretrussellpodcasttranscript
THERESA LADRIGAN-WHELPLEY: Welcome to INTEGRAL, a podcast production out of the Ignatian Center for Jesuit Education at Santa Clara University; exploring the question is there a common good in our common home? I’m Theresa Ladrigan-Whelpley, the director of the Bannan Institutes in the Ignatian Center and your host for this podcast. We’re coming to you from the campus of Santa Clara in the heart of Silicon Valley, California. Throughout this season of INTEGRAL we’ve been looking at how issues of racial and ethnic justice urgently intersect with the question of the common good. Today we will explore how truth and truth telling are a common good. How do experiences of racial injustice in the United States require a truth telling beyond present legal provisions? Might we need to expand the array of resources available to communities to bring about racial justice and the common good? MARGARET RUSSELL: The Declaration of Independence states, “We hold these truths to be self-evident.” Is truth so self-evident anymore? We say that we care about scientific truth and historical truth, and yet post-truth has become the word of the day. STEPHEN COLBERT (audio clip): Truthiness. Who’s Britannica to tell me that Panama Canal was finished in 1914? If I wanna say it happened in 1941 that’s my right. THERESA LADRIGAN-WHELPLEY: To unpack these questions today, we’re joined by Margaret Russell, Bannan Institute Scholar and Professor of Law at Santa Clara University, where she teaches constitutional law, civil procedure, and social justice. She’s co-founder of two non-profits: The East Palo Alto Community Law Project and the Equal Justice Society. -
Metoo Word of the Year Cheyenne Chontos, Hannah Norem, Sophie Geister-Jones, and Taylor Olson on Behalf of the Augustana Writing Center
#MeToo Word of the Year Cheyenne Chontos, Hannah Norem, Sophie Geister-Jones, and Taylor Olson on behalf of the Augustana Writing Center Twitter is a bit of a trash can fire and it can be a huge waste of time. However, it is one of the places where the philosophy of the marketplace of ideas is the strongest. Anyone can have a Twitter account and, despite the current misuse of it to discuss foreign policy, it has been a way for vulnerable and marginalized populations to speak out. It was the voice of the Arab Spring, and throughout the last decade has been a way for protesters to spread information and mobilize. This past year, with the hashtag #MeToo, Twitter has provided a platform and a voice for people affected by sexual harassment and sexual assault. The most important contribution that #MeToo has made to the fabric of American society is that it was a spark to a larger conversation about the problems plaguing society. It gives a voice to the “disquieting malaise of frustration and repression” that has plagued the experience of so many since the beginning of time.1 When people began to share their stories using the #MeToo hashtag, many more were able to see the snowballing of story upon story of harassment and add their own. In fact, it seemed like social media feeds were populated with stories of people around the world sharing their stories of sexual harassment. No matter how mundane or appalling the stories shared may be, people’s eyes were opened to the breadth and the magnitude of sexual harassment.