scholarly journals Small newspapers, big changes: awareness of market-driven journalism and consequences for community newspapers

2005 ◽  
Author(s):  
◽  
Richard Robert Gross
Keyword(s):  
Qualitative Method ◽  
News Coverage ◽  
Data Sets ◽  
Community Newspapers ◽  
Market Driven ◽  
The Impact ◽  
Growing Population

This study examines the attitudes of journalists at small newspapers toward market-driven journalism. The researcher queried 29 journalists at nine small Missouri newspapers. The author employed qualitative method using several data sets to examine the possible relationship among certain phenomena related to the question of market-driven journalism at small newspapers. How is marketdriven journalism perceived by editorial employees at small newspapers; to what extent do financial considerations guide their newspapers' coverage of their communities; and, how well does the newspaper content reflect the composition and concerns of the respective communities? The study concludes that journalists at small newspapers do have an understanding of the impact of market-driven journalism, that financial considerations do have an impact on news coverage by these newspapers to varying degrees depending on the resources of the newspaper, and that community newspapers do not adequately represent the composition of their communities, particularly new and growing population segments.

The impact of news coverage of Russia in the media on export—import activities

2019 ◽  
pp. 30-44
Author(s):  
Elena A. Fedorovau ◽  
Svetlana O. Musienko ◽  
Igor S. Demin ◽  
Fedor Yu. Fedorov ◽  
Dmitriy O. Afanasyev
Keyword(s):  
News Coverage ◽  
The Media ◽  
The Impact

DISCRESSION OF THE SAMPLE RESORTS POLICE IN THE IMPLEMENTATION OF ADMINISTRATIVE LAW PERSPECTIVE INVESTIGATION

2020 ◽  
Vol 4 (2) ◽  
pp. 147
Author(s):  
Tamrin Muchsin ◽  
Sri Sudono Saliro ◽  
Nahot Tua Parlindungan Sihaloho ◽  
Sardjana Orba Manullang
Keyword(s):  
Empirical Research ◽  
Qualitative Method ◽  
Government Regulation ◽  
Sampling Technique ◽  
Administrative Law ◽  
Criminal Investigation ◽  
Accurate Data ◽  
Long Distance ◽  
The Impact ◽  
Depth Interviews

It is still found that investigating officers do not have an S1 degree or equivalent in thejurisdiction of the Sambass Resort Police as mandated in PP No. 58 of 2010 concerningAmendments to Government Regulation Number 27 of 1983 concerning theImplementation of KUHAP article 2A paragraph (1) letter a. If the requirements ofinvestigators are not fulfilled, there will automatically be limits of authority, includingthe inability to issue investigation orders, detention warrants and other administrativeletters. This study used a qualitative method with juridical empirical research. Toobtain accurate data, purposive sampling technique was used, and primary datacollection by conducting in-depth interviews. The research results found, among others:first, discretion regarding the administration of investigations in the jurisdiction of theSambas Resort Police for the Sambas District Police who do not have investigatingofficers who meet the requirements, is then taken over by the Head of the CriminalInvestigation Unit as the supervisor of the integrated criminal investigation function.Second, the impact of an integrated investigation administration causes the time tocarry out investigations to be slow due to the long distance between the Sector Policeand the Resort Police.

KAJIAN DAMPAK KEBIJAKAN PENUTUPAN LOKALISASI TELEJU OLEH PEMERINTAH KOTA PEKANBARU

2017 ◽  
Vol 15 (2) ◽  
pp. 78
Author(s):  
M. Zainuddin
Keyword(s):  
Social Order ◽  
Qualitative Method ◽  
Negative Impact ◽  
Early Stage ◽  
Policy Research ◽  
Research Approach ◽  
Policy Content ◽  
The Government ◽  
Closure Policy ◽  
The Impact

This research to analyze the impact of closure policy Teleju brothel by Pekanbaru govermentin 2010. Guidelines for works are Pekanbaru Local Regulations No. 12 of 2008 on Social Order-liness. Closure this brothel inflicts positive and negative impact for society.The research wasconducted to obtain early stage formula for the government to take action against the prostitu-tion activities. This research uses policy research approach with a qualitative method, becausein prostitution activities and prohibition by goverment is an assessment that needs to be done byanalyzing documents and unstructured interview.The results showed that after the closing of the Teleju brothel have an impact on the deploy-ment of a prostitution and affect the economy of the surrounding residents. Government seeksto tackle prostitution in Pekanbaru by moving the brothel, conduct regular raids and providetraining. The effort is considered to be less than the maximum because the handling is not basedon the root of the problem and not programmed properly. There are several causes of failure ofgovernment to overcome the prostitution problem in Pekanbaru, including: policy content isless focus on the prostitution problem, the government did not proceeds with data, lack of finan-cial support, contra productive programs between local government with the police and TNI,and the policy object is difficult to be given understanding.

Just Like Leaves in the Wind? Exploring the Effect of the Interplay of Media Coverage and Personal Characteristics on Issue Salience

2017 ◽  
Author(s):  
Agatha Kratz ◽  
Harald Schoen
Keyword(s):  
Individual Differences ◽  
Panel Data ◽  
Financial Crisis ◽  
Media Coverage ◽  
News Coverage ◽  
Personal Characteristics ◽  
Election Campaign ◽  
Issue Salience ◽  
Cross Sectional ◽  
The Impact

This chapter explores the effect of the interplay of personal characteristics and news coverage on issue salience during the 2009 to 2015 period and during the election campaign in 2013. We selected four topics that played a considerable role during this period: the labor market, pensions and healthcare, immigration, and the financial crisis. The evidence from pooled cross-sectional data and panel data supports the notion that news coverage affects citizens’ issue salience. For obtrusive issues, news coverage does not play as large a role as for rather remote topics like the financial crisis and immigration. The results also lend credence to the idea that political predilections and other individual differences are related to issue salience and constrain the impact of news coverage on voters’ issue salience. However, the evidence for the interplay of individual differences and media coverage proved mild at best.

scholarly journals Segment-Based Approach for Assessing Hazard Risk of Coastal Highways in Hawai‘i

2019 ◽  
Vol 2673 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang
Keyword(s):  
Qualitative Method ◽  
Data Sets ◽  
Regional Environment ◽  
The Road ◽  
Hazard Exposure ◽  
Multiple Indicators ◽  
System Data ◽  
Rural Highway ◽  
Geographic Information System Data

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.

scholarly journals Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yahya Albalawi ◽  
Jim Buckley ◽  
Nikola S. Nikolov
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Comprehensive Evaluation ◽  
Classification Problem ◽  
Data Sets ◽  
Word Embeddings ◽  
Data Set ◽  
Lower Accuracy ◽  
Health Related ◽  
The Impact

AbstractThis paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-processings applied to Arabic tweets within the process of training a classifier to identify health-related tweets. For this task we use the (traditional) machine learning classifiers KNN, SVM, Multinomial NB and Logistic Regression. Furthermore, we report experimental results with the deep learning architectures BLSTM and CNN for the same text classification problem. Since word embeddings are more typically used as the input layer in deep networks, in the deep learning experiments we evaluate several state-of-the-art pre-trained word embeddings with the same text pre-processing applied. To achieve these goals, we use two data sets: one for both training and testing, and another for testing the generality of our models only. Our results point to the conclusion that only four out of the 26 pre-processings improve the classification accuracy significantly. For the first data set of Arabic tweets, we found that Mazajak CBOW pre-trained word embeddings as the input to a BLSTM deep network led to the most accurate classifier with F1 score of 89.7%. For the second data set, Mazajak Skip-Gram pre-trained word embeddings as the input to BLSTM led to the most accurate model with F1 score of 75.2% and accuracy of 90.7% compared to F1 score of 90.8% achieved by Mazajak CBOW for the same architecture but with lower accuracy of 70.89%. Our results also show that the performance of the best of the traditional classifier we trained is comparable to the deep learning methods on the first dataset, but significantly worse on the second dataset.

Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Survey Data ◽  
A Priori ◽  
Data Sets ◽  
New Approach ◽  
Survey Quality ◽  
Survey Error ◽  
Ex Post ◽  
The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

scholarly journals A Two-Stage Joint Model for Nonlinear Longitudinal Response and a Time-to-Event with Application in Transplantation Studies

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Magdalena Murawska ◽  
Dimitris Rizopoulos ◽  
Emmanuel Lesaffre
Keyword(s):  
Empirical Bayes ◽  
Cox Model ◽  
Data Sets ◽  
Two Stage ◽  
Nonlinear Mixed Effects Model ◽  
Resistance Evolution ◽  
Longitudinal Response ◽  
Longitudinal Measurements ◽  
Subject Specific ◽  
The Impact

In transplantation studies, often longitudinal measurements are collected for important markers prior to the actual transplantation. Using only the last available measurement as a baseline covariate in a survival model for the time to graft failure discards the whole longitudinal evolution. We propose a two-stage approach to handle this type of data sets using all available information. At the first stage, we summarize the longitudinal information with nonlinear mixed-effects model, and at the second stage, we include the Empirical Bayes estimates of the subject-specific parameters as predictors in the Cox model for the time to allograft failure. To take into account that the estimated subject-specific parameters are included in the model, we use a Monte Carlo approach and sample from the posterior distribution of the random effects given the observed data. Our proposal is exemplified on a study of the impact of renal resistance evolution on the graft survival.

scholarly journals Voluntary Sustainability Certification and State Regulations: Paths to Promote the Conservation of Ecosystem Services? Experiences in Indonesia

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 503
Author(s):  
Intan Kurniati Ningsih ◽  
Verina Ingram ◽  
Sini Savilaakso
Keyword(s):  
Ecosystem Services ◽  
Local Governments ◽  
Sustainable Forest Management ◽  
Forest Stewardship Council ◽  
State Regulations ◽  
Certification Standard ◽  
Voluntary Certification ◽  
Market Driven ◽  
Forest Stewardship ◽  
The Impact

The Forest Stewardship Council initiated a Forest Certification for Ecosystem Services (ForCES) project from 2011 to 2017 to improve and promote sustainable forest management addressing a range of ecosystem services. Three sites in Indonesia were included in the pilot. Whilst the development of the certification standard was largely the result of a partnership between the certification standard organization, civil society and research organizations, implementation and monitoring of the impact of this sustainability standard will entail interactions with state regulations. This study examined how voluntary certification, other market-based approaches and state regulations concerning ecosystem services in Indonesia interplay, particularly in the agenda setting and negotiation stage. Using the conceptual lenses of transition theory and state and non-state market-based governance, interrelationships between ecosystem services certification and regulations were found to be complementary and antagonistic. The majority of interrelations were complementary and supporting. However, antagonism exists where regulations do not address multiple land uses and when there are contradictions in how state regulations define ecosystem services. There was limited state involvement in developing the ecosystem services certification standard, with no substitution between the voluntary standard and regulations occurring. To scale and transition this innovatory standard from a niche to a sociotechnical regime level, it is recommended that market-driven governance arrangements at farm, forest concession and landscape level are developed in collaboration with national and local governments. Collaboration can create synergies to incentivize the acceptance, adoption and effectiveness of non-state market driven instruments to positively enhance the conservation of ecosystem services.

Human Performance Evaluation of a Metaphor Graphic Display for Respiratory Data

1994 ◽  
Vol 33 (04) ◽  
pp. 390-396 ◽  
Author(s):  
J. G. Stewart ◽  
W. G. Cole
Keyword(s):  
Performance Evaluation ◽  
Human Performance ◽  
Pattern Detection ◽  
Data Sets ◽  
Complex Task ◽  
Graphic Display ◽  
Literal Sense ◽  
Single Number ◽  
The Impact ◽  
Human Problem

Abstract:Metaphor graphics are data displays designed to look like corresponding variables in the real world, but in a non-literal sense of “look like”. Evaluation of the impact of these graphics on human problem solving has twice been carried out, but with conflicting results. The present experiment attempted to clarify the discrepancies between these findings by using a complex task in which expert subjects interpreted respiratory data. The metaphor graphic display led to interpretations twice as fast as a tabular (flowsheet) format, suggesting that conflict between earlier studies is due either to differences in training or to differences in goodness of metaphor, Findings to date indicate that metaphor graphics work with complex as well as simple data sets, pattern detection as well as single number reporting tasks, and with expert as well as novice subjects.

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