scholarly journals The Influence of the ‘Tomos Narrative’ as a Part of the Ukrainian National and Strategic Narrative

2021 ◽  
pp. 163-178
Author(s):  
Artem Zakharchenko ◽  
Olena Zakharchenko
Keyword(s):  
Narrative Analysis ◽  
Presidential Election ◽  
Major Influence ◽  
Search Term ◽  
Electoral Support ◽  
Strategic Narratives ◽  
Electoral Campaign ◽  
Search Data ◽  
Media Narratives ◽  
Google Search

One of the most prominent parts of the 2019 Ukrainian presidential election was the mediatized topic of achieving Ukrainian church independence, and its symbol, the tomos document received from the Ecumenical Patriarch in January 2019. This process was a part of incumbent president Petro Poroshenko’s electoral campaign. Narrative analysis of this topic showed that it had a structure similar to that of classic Hollywood plots. It is unlike most other media narratives present in the information space. We prove that this topic had a major influence on its audience: media attention to the topic of Tomos was found to be closely correlated to Google search data associated with the ‘tomos’ search term and with electoral support for Poroshenko. However, this narrative`s audience was limited to the patriotic electorate, thus Poroshenko did not win the election. Nevertheless, the Tomos story became so influential that it can be considered a part of national and strategic narratives.

Using “Big Data” Versus Alternative Measures of Aggregate Data to Predict the U.S. 2016 Presidential Election

2017 ◽  
Vol 121 (4) ◽  
pp. 726-735 ◽  
Author(s):  
Christine Ma-Kellams ◽  
Brianna Bishop ◽  
Mei Fong Zhang ◽  
Brian Villagrana
Keyword(s):  
Big Data ◽  
Presidential Election ◽  
White Supremacy ◽  
Racial Bias ◽  
Hate Crimes ◽  
Behavioral Measures ◽  
Hate Groups ◽  
Political Conservatism ◽  
Search Data ◽  
Google Search

To what extent could “Big Data” predict the results of the 2016 U.S. presidential election better than more conventional sources of aggregate measures? To test this idea, the present research used Google search trends versus other forms of state-level data (i.e., both behavioral measures like the incidence of hate crimes, hate groups, and police brutality and implicit measures like Implicit Association Test (IAT) data) to predict each state’s popular vote for the 2016 presidential election. Results demonstrate that, when taken in isolation, zero-order correlations reveal that prevalence of hate groups, prevalence of hate crimes, Google searches for racially charged terms (i.e., related to White supremacy groups, racial slurs, and the Nazi movement), and political conservatism were all significant predictors of popular support for Trump. However, subsequent hierarchical regression analyses show that when these predictors are considered simultaneously, only Google search data for historical White supremacy terms (e.g., “Adolf Hitler”) uniquely predicted election outcomes earlier and beyond political conservatism. Thus, Big Data, in the form of Google search, emerged as a more potent predictor of political behavior than other aggregate measures, including implicit attitudes and behavioral measures of racial bias. Implications for the role of racial bias in the 2016 presidential election in particular and the utility of Google search data more generally are discussed.

Contesting Strategic Narratives in a Global Context: The World Watches the 2016 U.S. Election

2018 ◽  
Vol 24 (1) ◽  
pp. 92-114 ◽  
Author(s):  
Randolph Kluver ◽  
Skye Cooley ◽  
Robert Hinck
Keyword(s):  
Comparative Analysis ◽  
Presidential Election ◽  
Methodological Approach ◽  
Raw Material ◽  
Innovative Technology ◽  
Global Order ◽  
News Sources ◽  
Strategic Narratives ◽  
Media Narratives ◽  
The U.S

National media narratives often embody “strategic narratives” that embody national consensus on geopolitics. The 2016 U.S. presidential election was an event of intense international interest, both for its internal drama, but also for the policy positions of both of the major candidates. This paper presents a comparative analysis of how media in four key regions covered the U.S. presidential election and its immediate aftermath. Researchers utilized an innovative technology that allowed the teams to harvest media content, from almost seventy-five global news sources, in Arabic, Farsi, Chinese, and Russian. This paper utilized the theoretical construct of strategic narratives to demonstrate how the U.S. election is incorporated into narrative constructions of global order. Theoretically, this project seeks to deepen our understanding, from a comparative methodology, of how “events,” such as the U.S. presidential election, provide the raw material for global contestations of the global order. The essay also provides a mechanism for analyzing and evaluating these narratives using Fisher’s narrative paradigm. Finally, the paper demonstrates an innovative methodological approach to comparative analysis from disparate cultural and news traditions, languages, and patterns of access to media.

scholarly journals What value can Google search data add to existing syndromic surveillance systems?

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Helen K. Green ◽  
Obaghe Edeghere ◽  
Alex Elliot ◽  
Ingemar Cox ◽  
Rachel McKendry ◽  
...  
Keyword(s):  
Public Health ◽  
Syndromic Surveillance ◽  
Added Value ◽  
Surveillance Systems ◽  
Search Term ◽  
Public Health Importance ◽  
Health Events ◽  
Search Terms ◽  
Search Data ◽  
Google Search

ObjectiveTo carry out an observational study to explore what added value Google search data can provide to existing routine syndromic surveillance systems in England for a range of conditions of public health importance and summarise lessons learned for other countries.IntroductionGlobally, there have been various studies assessing trends in Google search terms in the context of public health surveillance1. However, there has been a predominant focus on individual health outcomes such as influenza, with limited evidence on the added value and practical impact on public health action for a range of diseases and conditions routinely monitored by existing surveillance programmes. A proposed advantage is improved timeliness relative to established surveillance systems. However, these studies did not compare performance against other syndromic data sources, which are often monitored daily and already offer early warning over traditional surveillance methods. Google search data could also potentially contribute to assessing the wider population health impact of public health events by supporting estimation of the proportion of the population who are symptomatic but may not present to healthcare services.MethodsWe sought to determine the added public health utility of Google search data alongside established syndromic surveillance systems in England2 for a range of conditions of public health importance, including allergic rhinitis, scarlet fever, bronchitis, pertussis, measles, rotavirus and the health impact of heatwaves. Google search term selection was based on diagnostic and clinical codes underlying the syndromic indicators, with Google Trends3 used to identify additional related internet search terms. Daily data was extracted from syndromic surveillance systems2 and from the Google Health Trends Application Programming Interface (API) from 2012 to 2017 and a retrospective daily analysis undertaken during pre-identified public health events to identify a) whether signals were detected during these events and b) assess the correlation with analogous syndromic surveillance indicators through calculation of Spearman correlation coefficients and lag assessment to determine timeliness.ResultsWe detected increases in Google search term frequency during public health events of interest. Good correlation was seen with comparable syndromic surveillance indicators on a daily timescale for several health outcomes, including the search terms hayfever, scarlet fever, bronchiolitis and heatstroke. Weaker correlation was seen for conditions which occur in small numbers and are vaccine preventable such as measles and pertussis. Lag analysis showed similar timeliness between daily syndromic and Google data, suggesting that, overall, Google data did not provide an earlier or delayed signal compared to syndromic surveillance indicators in England.ConclusionsTo the best of our knowledge this is the first time trends in Google search data have been compared against syndromic data for a range of public health conditions in England. These findings demonstrate the potential utility of internet search query data in conjunction with existing systems in England, with syndromic surveillance data found to be as timely as Google data. These findings also have important implications for countries where there are no such healthcare-based syndromic surveillance systems in place. Factors to consider with analyses of Google search trend data in the context of disease surveillance have been highlighted, including the choice of search terms and interpretation of the reasons behind searching the internet.References1Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K. The use of google trends in health care research: a systematic review. PLoS One. 2014 Oct 22;9(10):e109583.2Public Health England. Syndromic surveillance: systems and analyses. 2017. Available online: https://www.gov.uk/government/collections/syndromic-surveillance-systems-and-analyses3Google. 2017. Google Trends. Available online:https://trends.google.com/trends/

scholarly journals Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Christopher H. Arehart ◽  
Michael Z. David ◽  
Vanja Dukic
Keyword(s):  
Public Health ◽  
Linear Models ◽  
State Level ◽  
Individual State ◽  
Control And Prevention ◽  
Search Data ◽  
State Models ◽  
Uniform Manner ◽  
Google Search ◽  
The U.S

AbstractThe Morbidity and Mortality Weekly Reports of the U.S. Centers for Disease Control and Prevention document a raw proxy for counts of pertussis cases in the U.S., and the Project Tycho (PT) database provides an improved source of these weekly data. These data are limited because of reporting delays, variation in state-level surveillance practices, and changes over time in diagnosis methods. We aim to assess whether Google Trends (GT) search data track pertussis incidence relative to PT data and if sociodemographic characteristics explain some variation in the accuracy of state-level models. GT and PT data were used to construct auto-correlation corrected linear models for pertussis incidence in 2004–2011 for the entire U.S. and each individual state. The national model resulted in a moderate correlation (adjusted R2 = 0.2369, p < 0.05), and state models tracked PT data for some but not all states. Sociodemographic variables explained approximately 30% of the variation in performance of individual state-level models. The significant correlation between GT models and public health data suggests that GT is a potentially useful pertussis surveillance tool. However, the variable accuracy of this tool by state suggests GT surveillance cannot be applied in a uniform manner across geographic sub-regions.

scholarly journals Infodemiology of systemic lupus erythematous using Google Trends

Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia
Keyword(s):  
Big Data ◽  
Northern Hemisphere ◽  
Lupus Erythematosus ◽  
Kendall Test ◽  
Google Trends ◽  
Data Monitoring ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Terms ◽  
Google Search

Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. ‘Infodemiology’ and ‘infoveillance’ are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering ‘lupus’, ‘relapse’ and ‘fatigue’ in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn–Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for ‘lupus’ were correlated with ‘relapse’ (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.85; p = 0.018). Similarly, a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

scholarly journals Kriteria Calon Pemimpin Negara dan Mekanisme Pencalonannya di Negara Republik Indonesia dalam Pandangan Fiqih Siyasah

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Tofa Fidyansyah ◽  
Siti Ngainnur Rohmah
Keyword(s):  
Presidential Election ◽  
Qualitative Method ◽  
Legal Theory ◽  
Major Influence ◽  
The Political ◽  
Court Decisions ◽  
Direct Elections ◽  
The Republic ◽  
The Right ◽  
Laws And Regulations

Leadership has a major influence on the political and state life of a nation. A leader will also determine the progress and retreat of a country. This paper provides an understanding of the criteria for candidate state leaders whose mechanisms have been determined in the laws and regulations of the Republic of Indonesia and the criteria for candidate state leaders in the view of fiqh siyasah. This study uses a qualitative method with a literature approach. The data in this study were obtained from binding legal materials consisting of legislation, court decisions, legal theory, books, scientific writings and legal journals. The results of this study state that the criteria for candidates for state leaders in the Republic of Indonesia as stated in the laws and regulations have several similarities with the criteria for candidate leaders according to Fiqih Siyasah, the presidential election of the Republic of Indonesia in the period before 2009 was carried out with the concept of Bay'at Ahl al-Hall wa al-'Aqd, the presidential election is carried out in the deliberations of the people's representatives who are in the People's Consultative Assembly (MPR), appointed by the assembly, and when the term of office ends, an accountability report will be asked to the assembly that appointed it. The presidential election of the Republic of Indonesia, in the period after 2009 was carried out by way of direct elections through elections, all levels of society who have the right to vote can make their choice directly, no longer through representatives by people's representatives. But the weakness is that the elected president is not asked to report an accountability report at the end of his term of office.Keywords: Criteria for prospective leaders, mechanisms, fiqh siyasah. AbstrakKepemimpinan berpangaruh besar terhadap kehidupan berpolitik dan bernegara suatu bangsa. Seorang pemimpin juga akan menentukan maju mundurnya sebuah negara. Tulisan ini memberikan pemahaman bagaimana kriteria calon pemimpin negara yang sudah ditetapkan mekanismenya dalam peraturan perundang-undangan Republik Indonesia dan kriteria calon pemimpin negara dalam pandangan fikih siyasah. Penelitian ini menggunakan metode kualitatif dengan pendekatan literatur. Data dalam penelitian ini diperoleh dari bahan-bahan hukum yang mengikat yang terdiri dari perundang-undangan, keputusan pengadilan, teori hukum, buku-buku, tulisan-tulisan ilmiah dan jurnal hukum. Hasil penelitian ini menyatakan bahwa kriteria calon pemimpin negara di Republik Indonesia yang tertuang dalam peraturan perundang-undangan memiliki beberapa persamaan dengan kriteria calon pemimpin menurut Fiqih Siyasah, Pemilihan presiden Republik Indonesia dalam kurun waktu sebelum tahun 2009 dilaksanakan dengan konsep Bay’at Ahl al-Hall wa al-‘Aqd, pemilihan presiden dilakukan di dalam musyawarah para wakil rakyat yang berada di dalam Majelis Permusyawaratan Rakyat (MPR), diangkat oleh majelis, dan ketika berakhir masa jabatan akan dimintai laporan pertanggung jawaban kepada majelis yang mengangkatnya. Pemilihan presiden Republik Indonesia, dalam kurun waktu sesudah tahun 2009 dilakukan dengan cara pemilihan langsung melalui pemilu, semua lapisan masyarakat yang mempunyai hak pilih bisa menentukan pilihannya secara langsung, tidak lagi melalui perwakilan oleh wakil rakyat. Tetapi kelemahannya  presiden terpilih tidak dimintai laporan pertanggung jawaban di akhir masa jabatan. Kata kunci : Kriteria calon pemimpin, mekanisme, fiqih siyasah. 

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