scholarly journals Postmortem memory of public figures in news and social media

2021 ◽  
Vol 118 (38) ◽  
pp. e2106152118
Author(s):  
Robert West ◽  
Jure Leskovec ◽  
Christopher Potts
Keyword(s):  
Social Media ◽  
Collective Memory ◽  
Cultural Memory ◽  
English Language ◽  
Online News ◽  
Rapid Decay ◽  
Unnatural Death ◽  
Public Figures ◽  
Before And After

Deceased public figures are often said to live on in collective memory. We quantify this phenomenon by tracking mentions of 2,362 public figures in English-language online news and social media (Twitter) 1 y before and after death. We measure the sharp spike and rapid decay of attention following death and model collective memory as a composition of communicative and cultural memory. Clustering reveals four patterns of postmortem memory, and regression analysis shows that boosts in media attention are largest for premortem popular anglophones who died a young, unnatural death; that long-term boosts are smallest for leaders and largest for artists; and that, while both the news and Twitter are triggered by young and unnatural deaths, the news additionally curates collective memory when old persons or leaders die. Overall, we illuminate the age-old question of who is remembered by society, and the distinct roles of news and social media in collective memory formation.

Double exposures: the photographic afterlives of Pasolini and Moro

Modern Italy ◽  
2016 ◽  
Vol 21 (4) ◽  
pp. 409-425
Author(s):  
Sarah Patricia Hill
Keyword(s):  
Cultural Memory ◽  
Cultural Meanings ◽  
Double Exposure ◽  
Pier Paolo Pasolini ◽  
Theoretical Approaches ◽  
Public Figures ◽  
Italian Culture ◽  
Before And After ◽  
Economic Boom ◽  
Visual Record

Photographs play a crucial role in the ways the lives and deaths of Pier Paolo Pasolini and Aldo Moro are remembered in Italian culture. Locating photographs of the two men taken before and after their murders against the backdrop of the changes in photographic practice that took place in Italy from the period of the economic boom in the late 1950s through to the early 1970s, this article explores and compares the cultural meanings of the photographs of the bodies of these two very different but equally symbolic public figures, both alive and dead. Analysing the significance of these images in Italy in the 1970s and after, it notes how contemporary theoretical approaches to the medium – particularly in terms of understandings of mass media forms and the theoretical linking of photography and death – shaped how the photographs have been understood in relation to their social and political context. It argues that the afterimage of the photographs of the corpses of Pasolini and Moro is overlaid in Italian cultural memory over the visual record of the two men during their lives in a kind of mnemonic ‘double exposure’ that constitutes these bodies of images as collective icons of their times.

scholarly journals Investigating evaluation and news values in news items that are shared through social media

Corpora ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 227-257 ◽  
Author(s):  
Monika Bednarek
Keyword(s):  
Social Media ◽  
News Media ◽  
English Language ◽  
Online News ◽  
News Values ◽  
News Value ◽  
Social Media Platforms ◽  
Linguistic Focus ◽  
News Corpus ◽  
News Sharing

The sharing of news through social media platforms is now a significant part of mainstream online media use and is an increasingly important consideration in journalism practice and production. This paper analyses the linguistic characteristics of online news sharing on Facebook, with a focus on evaluation and news values in a corpus of the 100 ‘most shared’ news items from ‘heritage’ English-language news media organisations. Analyses combine corpus linguistic techniques (semantic tagging, frequency analysis, concordancing) with manual, computer-aided annotation. The main focus is on discursive news values analysis (DNVA), which examines how news values are established through semiotic resources, enabling new empirical insights into shared news and adding a specific linguistic focus to the emerging literature on news sharing. Results suggest that all ‘traditional’ news values appear to be construed in the shared news corpus and that there is variety in terms of the items that are widely shared. At the same time, the news values of Eliteness, Superlativeness, Unexpectedness, Negativity and Timeliness seem especially important in the corpus. The findings also indicate that ‘unexpected’ and ‘affective’ news items may be shared more, and that Negativity is a more important news value than Positivity.

scholarly journals Misinformation Concerns and Online News Participation among internet Users in India

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110090
Author(s):  
Taberez Ahmed Neyazi ◽  
Antonis Kalogeropoulos ◽  
Rasmus K. Nielsen
Keyword(s):  
Social Media ◽  
Civil Society ◽  
English Language ◽  
Party Identification ◽  
Online News ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Internet Users ◽  
Social Media Platforms ◽  
News Sharing

The rise of misinformation often circulated in various social media platforms has not only raised concerns among the policymakers and civil society groups, but also among citizens. Drawing upon a cross-sectional survey ( n = 1,013) among English-language internet users in India, this paper tries to identify factors that affect concerns for online misinformation among citizens and how online news participation is affected by the rise of misinformation. After controlling for gender, age, education and income, we found that WhatsApp use, party identification and trust in news are positively associated with the concern for misinformation. Similarly, partisans are more likely to engage with news online. While Facebook and Twitter use are positively associated with online news sharing, the use of WhatsApp is not significant. The empirical evidence adds new insights to the literature on misinformation and online news engagement from the world’s largest democracy.

scholarly journals A Quantitative Investigation into the Impacts of 1:1 iPads on Early Learner’s ELA and Math Achievement

10.28945/2175 ◽  
2015 ◽  
Vol 14 ◽  
pp. 191-215 ◽  
Author(s):  
Damian Bebell ◽  
Joseph Pedulla
Keyword(s):  
Student Achievement ◽  
Longitudinal Study ◽  
English Language ◽  
Math Achievement ◽  
Policy Makers ◽  
Before And After ◽  
Implementation Period ◽  
Literacy Performance ◽  
Performance Gains

Many parents, educators, and policy makers see great potential for leveraging tools like laptop computers, tablets, and smartphones in the classrooms of the world. Although increasing students’ technology access may be associated with increased student achievement, there is little research directly investigating objective measures of student achievement. This study addresses the short-term and long-term quantitative impacts of one of the world’s first school efforts to provide Kindergarten through 3rd grade classrooms with 1:1 iPad access and a range of English Language Arts (ELA) and math Apps. This report summarizes two investigations conducted during this iPad implementation. First, a 9-week pre/post randomized control trial was conducted in which 8 Kindergarten classes used literacy and numeracy apps while another 8 Kindergarten classes used their traditional (non-iPad) resources. At the end of this short implementation period, slightly stronger literacy performance gains were observed in the iPad settings. In a second longitudinal study, three years of assessment data were explored before and after the 1:1 iPad implementation in grades K to 2. Results from the longitudinal study provide emerging evidence of potential increases in ELA achievement, but no consistent results in math achievement. This paper adds to the sparse literature in this area and provides a springboard for further research.

scholarly journals Morphological Processes of Neologisms in Social Media Among the Public Figures

2020 ◽  
Vol 9 (3) ◽  
pp. 2526-2531
Keyword(s):  
Social Media ◽  
English Language ◽  
Morphological Process ◽  
New Words ◽  
The Public ◽  
Public Figures ◽  
Internet Users ◽  
Morphological Processes ◽  
Blending Process ◽  
Media Applications

This article investigated the morphological processes involved in the neologisms used by the public figures in social media. Language has seemed to evolve with the help of technologies especially English language which is the Lingua Franca in this digital platform. The Internet users or the ‘netizens’ tend to generate new words and phrases as part of their digital communication literacy. This trending phenomenon has created numerous forms of neologisms which somehow the new words created are used widely. The neologisms were collected and analyzed from the public figures through three social media applications which are Facebook, Instagram and Twitter. The morphological processes of the samples collected are analyzed qualitatively. The data of the study are analyzed to determine the types of processes that are frequently employed to form neologisms. The results are used to determine which morphological processes are most frequently used in forming neologisms in social media. From the study conducted, the result shows that blending process has the highest frequency among the eleven morphological processes selected and followed by acronym. As such, this paper intends to describe only one morphological process that obtains the highest occurrence, which is blending process.

scholarly journals Text Mining Approaches to Analyze Public Sentiment Changes Regarding COVID-19 Vaccines on Social Media in Korea

2021 ◽  
Vol 18 (12) ◽  
pp. 6549
Author(s):  
Jae-Geum Shim ◽  
Kyoung-Ho Ryu ◽  
Sung Hyun Lee ◽  
Eun-Ah Cho ◽  
Yoon Ju Lee ◽  
...  
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Time Course ◽  
Latent Dirichlet Allocation ◽  
Allocation Model ◽  
Public Response ◽  
Latent Dirichlet Allocation Model ◽  
Public Sentiment ◽  
Before And After

The COVID-19 pandemic has affected the entire world, resulting in a tremendous change to people’s lifestyles. We investigated the Korean public response to COVID-19 vaccines on social media from 23 February 2021 to 22 March 2021. We collected tweets related to COVID-19 vaccines using the Korean words for “coronavirus” and “vaccines” as keywords. A topic analysis was performed to interpret and classify the tweets, and a sentiment analysis was conducted to analyze public emotions displayed within the retrieved tweets. Out of a total of 13,414 tweets, 3509 were analyzed after preprocessing. Eight topics were extracted using the Latent Dirichlet Allocation model, and the most frequently tweeted topic was vaccine hesitation, consisting of fear, flu, safety of vaccination, time course, and degree of symptoms. The sentiment analysis revealed a similar ratio of positive and negative tweets immediately before and after the commencement of vaccinations, but negative tweets were prominent after the increase in the number of confirmed COVID-19 cases. The public’s anticipation, disappointment, and fear regarding vaccinations are considered to be reflected in the tweets. However, long-term trend analysis will be needed in the future.

scholarly journals Beyond the use of Code Mixing by Social Media Influencers in Instagram

2019 ◽  
Vol 10 (6) ◽  
pp. 143
Author(s):  
Bejo Sutrisno ◽  
Yessika Ariesta
Keyword(s):  
Social Media ◽  
Foreign Language ◽  
Qualitative Method ◽  
English Language ◽  
Active Time ◽  
Code Mixing ◽  
Public Figures ◽  
Lunch Time ◽  
The Way

The purpose of this study is to analyse code-mixing used by social media influencers in Instagram. The method of this research is qualitative method and observation is uded to find the posts of influencers where they use code-mixing. Questioning to the influencers about the reasons they often use code-mixing through Instagram direct message or email are also done. The writer decided that the two familiar influencers from public figures are the main samples of this research. The result from this research is that the influencers use code mixing because they want Indonesian people to develop themselves by mastering English language and they want to give example to people, especially their followers that English can be fun and everyone can practice English. Being habit is also one of the reasons that they like to use code mixing. The Influencers use code-mixing in instagram in certain time, such as lunch time and after office hours, because those are the active time for them and their followers online in Instagram. It is evident that the use of code-mixing by the influencers arouse the followers interested and motivated to sharpen their English language and it could be as one of the parts in practicing the followers’ English through social media. It then becomes one of the way to learn more a foreign language through social media.

Impact of Social Media on English Language: A Review

2015 ◽  
Vol 3 (3) ◽  
pp. 5
Author(s):  
Dr. Neha Sharma
Keyword(s):  
Social Media ◽  
Cultural Values ◽  
English Language ◽  
Major Influence ◽  
International Level ◽  
Class Society ◽  
The World ◽  
The Status ◽  
The Media ◽  
Subsequent Rise

Language being a potent vehicle of transmitting cultural values, norms and beliefs remains a central factor in determining the status of any nation. India is a multilingual country which tends to encourage people to use English at national and international level. Basically English in India owes its presence to the British but its subsequent rise is not fully attributable to the British. It has now become the language of wider communication which is now spoken by large number of people all over the world. It is influenced by many factors such as class, society, developments in science and technology etc. However the major influence on English language is and has been the media.

English Students’ Attitudes towards English Language Teaching and Learning at IAIN Padangsidimpuan

2016 ◽  
Vol 13 (2) ◽  
Author(s):  
Ida Royani ◽  
T. Silvana Sinar
Keyword(s):  
Language Learning ◽  
Role Models ◽  
English Language ◽  
Language Teaching ◽  
English Language Teaching ◽  
English Learning ◽  
Learner Centered ◽  
Students Attitudes ◽  
English Students

This study investigated the English students’ attitudes of IAIN Padangsidimpuan towards both English language teaching in terms of (a) language-centered, (b) learner-centered, and (c) learning-centered method; and learning English in terms of scales (a) attitudes toward long-term English learning, (b) interest in culture and communication, (c) perception about studying in school context, (d) images associated with English, (e) English learning activities, (f) exposure to English outside school, (g) self-rated four English skills, (h) self-reported academic English grade, and (i) identification of English role models. The data were obtained by questionnaire and interview from 10 selected students in which 4 male and 6 female students in 7th semester and were analyzed by steps provided by Gay, L.R and Airasian (1996). The result showed:  first, English students’ attitudes towards English language teaching had been found highly onlearning-centered method, followed by learner-centered method in second range, and almost negative view in language-centered method.Second, English students’ attitudes towards English language learningwere positivein scales; long-term English learning, interest in communication, and images associated with English.  Third, role of students’ gender on English language learning were not found. Reasons for this statement are (i) status of English as international language and (ii) equalization of getting education for male and female. Keywords: attitude, language teaching, language learning, and gender

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

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