scholarly journals Information Sources for Trust Judgments in Managerial Relationships over Time: A Conceptual Analysis

2013 ◽  
Author(s):  
Yung-Kuei Huang ◽  
Linchi Kwok
Keyword(s):  
Conceptual Analysis ◽  
Information Sources ◽  
Over Time

Pasture renewal in the Waikato and Bay of Plenty regions: An overview of farmer practice, experience and attitudes

2011 ◽  
Vol 15 ◽  
pp. 21-24
Author(s):  
Kelly Smith ◽  
R. Brazendale
Keyword(s):  
Decision Making ◽  
Online Survey ◽  
Information Sources ◽  
Farm Management ◽  
Dairy Farmers ◽  
Practice Experience ◽  
Rate Information ◽  
And Performance ◽  
On Farm ◽  
Over Time

Pasture persistence and performance, and associated issues such as black beetle, are of central concern to dairy farmers. The Pasture Renewal Survey 2010 aimed to better understand farmers' confidence in their ability to make informed decisions on their pasture renewal practices, their satisfaction with the success of this decision-making and the performance of their renewed pastures over time. In addition, the survey investigated their attitudes to information sources and what barriers they saw to improving pasture performance on farm. A postal and online survey elicited responses from 776 dairy farmers in the Waikato and Bay of Plenty regions. The four main findings of the work were: 1. Farmers are more confident of their ability to make appropriate on-farm management decisions for renewed pasture than they are of their ability to choose appropriate cultivars and endophyte. 2. Farmers, while generally satisfied with their own success in renewing pasture, reported decreasing levels of satisfaction with renewed pastures over the 3 successive years following renewal. 3. Farmers do not rate information sources very highly in terms of their usefulness in relation to pasture renewal. 4. Weather-related issues and pest-related issues (particularly black beetle) were the most commonly identified barriers to improving pasture performance. Keywords: farmer confidence, farmer satisfaction, information sources, pasture renewal.

Diversity of information sources: An evaluation of global think tanks knowledge construct

2019 ◽  
Vol 28 (3) ◽  
pp. 273-278
Author(s):  
Mahmood Ahmad ◽  
Muhammad Ayub Jan
Keyword(s):  
Policy Analysis ◽  
Policy Making ◽  
Information Sources ◽  
Think Tanks ◽  
Comprehensive List ◽  
The World ◽  
Sources Of Variation ◽  
Over Time

AbstractIn the realm of policy making, place and prestige of think tanks is acknowledged for their contribution in policy analysis and recommendations. Governments around the world consider the reports and recommendations of leading global think tanks when developing their policies. However, in spite of there being a comprehensive list of typologies and functions of think tanks, much less is known about these ‘machineries of knowledge’ and what enables them ‘to know what they know, and the key sources of variation among them’. Drawing on the theory of epistemic knowledge, this study aims to provide insights about how knowledge is produced inside these machineries of knowledge by looking at source citations’ pattern of reports produced by the top 50 global think tanks. For this purpose, a total of 365 research reports on one country, i.e. Pakistan, published between 2007 and 2016 were retrieved. A total of 17,801 references were extracted and analyzed. The study finds that there is great variation across think tanks in the use of diverse information sources and the use also varies considerably over time even for the same organization.

Promoting the Culture and Development of Regional Communities with Digital Libraries

2005 ◽  
pp. 593-597
Author(s):  
Cavan McCarthy
Keyword(s):  
Digital Libraries ◽  
Information Sources ◽  
Information Resources ◽  
Significant Feature ◽  
Regional Culture ◽  
Digital Form ◽  
Culture And Development ◽  
The Relationship ◽  
Local Materials ◽  
Over Time

Libraries and archives have always been major information sources for the history, culture and literature of regional communities. It is quite natural that in an increasingly electronic world, these rich collections are becoming available in digital form. Digital libraries permit local materials to be made available to a wide public, where they become a significant feature in the dissemination of regional culture (Love & Feather, 1998). Locally oriented digital libraries deal with specific communities, regions or states. The relationship is clear in this definition, published by the Washington-based Council on Library and Information Resources: Digital libraries are organizations that provide the resources, including the specialized staff, to select, structure, offer intellectual access to, interpret, distribute, preserve the integrity of, and ensure the persistence over time of collections of digital works so that they are readily and economically available for use by a defined community or set of communities. (Waters, 1998)

The Importance of an Updating Internal Representation of the Environment in the Control of Visual Sampling

1985 ◽  
Vol 37 (4) ◽  
pp. 533-551 ◽  
Author(s):  
A. J. Maule
Keyword(s):  
Data Analysis ◽  
Information Sources ◽  
Internal Representation ◽  
Test Session ◽  
Extra Information ◽  
Visual Sampling ◽  
Observing Response ◽  
The Moment ◽  
Changes Over Time ◽  
Over Time

Theories of visual sampling have been founded on the assumption that human monitors use an internal representation of the environment, which changes over time in accordance with the person's expectations. Experimental evidence supporting this view is equivocal since it is based on sampling performance averaged over long periods of a test session. Two experiments are reported that use the instrumental observing response as an index of sampling. Subjects were set to discover critical events presented to three information sources, and these events were preceded by varying amounts of extra information, which affected event predictability. A procedure for data analysis was developed to evaluate the relation between sampling behaviour and the moment-to-moment changes in the states of the sources. Results supported the view that sampling was dependent on a constantly updating internal representation of the environment.

scholarly journals Surveillance and Resilience in Theory and Practice

2015 ◽  
Vol 3 (2) ◽  
pp. 21-41 ◽  
Author(s):  
Charles D. Raab ◽  
Richard Jones ◽  
Iván Székely
Keyword(s):  
Public Goods ◽  
Conceptual Analysis ◽  
Theory And Practice ◽  
Terrorist Attacks ◽  
The Public ◽  
Serious Crime ◽  
Social Discourses ◽  
Mass Surveillance ◽  
Over Time ◽  
Governmental Strategy

Surveillance is often used as a tool in resilience strategies towards the threat posed by terrorist attacks and other serious crime. “Resilience” is a contested term with varying and ambiguous meaning in governmental, business and social discourses, and it is not clear how it relates to other terms that characterise processes or states of being. Resilience is often assumed to have positive connotations, but critics view it with great suspicion, regarding it as a neo-liberal governmental strategy. However, we argue that surveillance, introduced in the name of greater security, may itself erode social freedoms and public goods such as privacy, paradoxically requiring societal resilience, whether precautionary or in mitigation of the harms it causes to the public goods of free societies. This article develops new models and extends existing ones to describe resilience processes unfolding over time and in anticipation of, or in reaction to, adversities of different kinds and severity, and explores resilience both on the plane of abstract analysis and in the context of societal responses to mass surveillance. The article thus focuses upon surveillance as a special field for conceptual analysis and modelling of situations, and for evaluating contemporary developments in “surveillance societies”.

Exploiting Expert Analysis? Evidence from Event Studies in an Information-Rich Market Environment

2013 ◽  
pp. 427-448
Author(s):  
Michael A. Smith
Keyword(s):  
Information Sources ◽  
Comprehensive Evaluation ◽  
Efficient Market Hypothesis ◽  
Event Studies ◽  
Horse Race ◽  
Information Efficiency ◽  
Arbitrage Opportunities ◽  
Betting Markets ◽  
Expert Analysis ◽  
Over Time

This chapter evaluates the record of media forecasters in selecting winners, with returns judged against the benchmark of information efficiency as specified in the efficient-market hypothesis, updating in particular prior analyses of the well-established Pricewise tipping column in the industry newspaper the Racing Post with a new and bigger dataset. Most notably, the analysis seeks to establish whether or not the feature’s previously impressive record had been maintained and to exploit new market information sources which permit insights into the dynamics of horse race betting markets over time to reveal the extent of arbitrage opportunities with respect to the Pricewise selections. This is used to permit a more comprehensive evaluation of the degree of information efficiency with respect to these “events.”

Socioeconomic Factors Influence Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data

2021 ◽  
pp. 089011712110181
Author(s):  
Naleef Fareed ◽  
Pallavi Jonnalagadda ◽  
Christine M. Swoboda ◽  
Pranav Samineni ◽  
Tyler Griesenbrock ◽  
...  
Keyword(s):  
Socioeconomic Factors ◽  
Health Information ◽  
Information Seeking ◽  
Information Sources ◽  
Income Group ◽  
High Income Group ◽  
Health Information Seeking ◽  
Cross Sectional ◽  
Targeted Interventions ◽  
Over Time

Purpose: Assessed socioeconomic factors in health information seeking behavior and trust of information sources from 2007 to 2017. Design: Pooled cross-sectional survey data. Setting: Health Information National Trends Survey. Participation: Data included 6 iterations of U.S. adults (Pooled: N = 19,496; 2007: N = 3,593; 2011: N = 3,959; 2013: N = 3,185; FDA 2015: N = 3,738; 2017: N = 3,285; and FDA 2017: N = 1,736). Measures: Outcome variables were health information seeking, high confidence, and high trust of health information from several sources. Independent variables were education and income group, controlling for other sociodemographic variables. Analysis: Weighted descriptive and multivariate logistic regression for the pooled sample assessed associations by education and income. Fully interacted models with education/income-survey year interactions compared differences in outcomes between years. Results: We found information seeking, confidence, and trust were associated with income and education, which supported previously reported findings. Additionally, our findings indicated low-and medium-income groups had significantly lower odds of seeking health information compared to those in a high-income group. Regarding trust of information, a high school education was associated with higher odds of trust in family and friends. We also found that, over time, information seeking, confidence, and trust behavior differed by income and education, with some differences persisting. Conclusion: Disparities by income and education in trust of information sources remained across time. Understanding optimal information sources, their reach, and their credibility among groups could enable more targeted interventions and health messaging. We also describe the implications for our findings in the context of COVID-19.

scholarly journals WHAT’S ‘UP NEXT’? INVESTIGATING ALGORITHMIC RECOMMENDATIONS ON YOUTUBE ACROSS ISSUES AND OVER TIME

2021 ◽  
Author(s):  
Ariadna Matamoros-Fernandez ◽  
Joanne Elizabeth Gray ◽  
Louisa Bartolo ◽  
Jean Burgess ◽  
Nicolas Suzor
Keyword(s):  
Qualitative Methods ◽  
Information Sources ◽  
Media Content ◽  
Limited Data ◽  
Policy Changes ◽  
Search Results ◽  
Search Terms ◽  
Over Time ◽  
Sociocultural Issues

YouTube’s ‘up next’ feature algorithmically suggests videos to watch after a video that is currently playing. This feature has been criticised for limiting users’ exposure to diverse media content and information sources; meanwhile, YouTube has reported that they have implemented technical and policy changes to address these concerns. Yet, there is limited data to support either the existing concerns or YouTube’s claims. Drawing on the concept of platform observability, this paper combines computational and qualitative methods to investigate the types of content YouTube’s ‘up next’ feature amplifies over time, using three search terms associated with sociocultural issues where concerns have been raised about YouTube’s role: ‘coronavirus’, ‘feminism’ and ‘beauty’. Over six weeks, we collected the videos (and their metadata) that were highly ranked in the search results for each keyword, as well as the top-ranked recommendations associated with each video, repeating the exercise for three steps in the recommendation chain. We then examined patterns in the recommended videos (and channels) for each query and their variation over time. We found evidence of YouTube's stated efforts to boost ‘authoritative’ media outlets, but at the same time, misleading and controversial content continues to be recommended. We also found that while algorithmic recommendations offer diversity in videos over time, there are clear ‘winners’ at the channel level that are given a visibility boost in YouTube’s 'up next' feature. These impacts were attenuated differently depending on the nature of the search topic.

scholarly journals What’s “Up Next”? Investigating Algorithmic Recommendations on YouTube Across Issues and Over Time

2021 ◽  
Vol 9 (4) ◽  
pp. 234-249
Author(s):  
Ariadna Matamoros-Fernández ◽  
Joanne E. Gray ◽  
Louisa Bartolo ◽  
Jean Burgess ◽  
Nicolas Suzor
Keyword(s):  
Qualitative Methods ◽  
Information Sources ◽  
Keyword Search ◽  
Media Content ◽  
Policy Changes ◽  
Search Results ◽  
Search Terms ◽  
The One ◽  
Over Time ◽  
Sociocultural Issues

YouTube’s “up next” feature algorithmically selects, suggests, and displays videos to watch after the one that is currently playing. This feature has been criticized for limiting users’ exposure to a range of diverse media content and information sources; meanwhile, YouTube has reported that they have implemented various technical and policy changes to address these concerns. However, there is little publicly available data to support either the existing concerns or YouTube’s claims of having addressed them. Drawing on the idea of “platform observability,” this article combines computational and qualitative methods to investigate the types of content that the algorithms underpinning YouTube’s “up next” feature amplify over time, using three keyword search terms associated with sociocultural issues where concerns have been raised about YouTube’s role: “coronavirus,” “feminism,” and “beauty.” Over six weeks, we collected the videos (and their metadata, including channel IDs) that were highly ranked in the search results for each keyword, as well as the highly ranked recommendations associated with the videos. We repeated this exercise for three steps in the recommendation chain and then examined patterns in the recommended videos (and the channels that uploaded the videos) for each query and their variation over time. We found evidence of YouTube’s stated efforts to boost “authoritative” media outlets, but at the same time, misleading and controversial content continues to be recommended. We also found that while algorithmic recommendations offer diversity in videos over time, there are clear “winners” at the channel level that are given a visibility boost in YouTube’s “up next” feature. However, these impacts are attenuated differently depending on the nature of the issue.

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