Journalism Under Threat

Previous studies of intimidation and harassment of journalists have (rightly) focused on non-democratic and authoritarian nations and/or transitional/emerging democracies. In this article, we examine the situation in Sweden, a country with strong de facto and de jure safeguards of journalistic freedom and autonomy. We report the findings from a representative survey of Swedish journalists where three themes are analysed: the extent of harassment, the forms of harassment, and the consequences of intimidation and harassment. The results show that a third of the respondents had experienced threats at work in the past year, and an overwhelming majority said they had received offensive and insulting comments. Intimidation and harassment also had consequences, both professionally and personally, such as fear and self-censorship. We therefore argue that it is time to add the dimension of external pressure and threats to the discussion of journalistic autonomy—including in countries like Sweden.     

They censor,I select

What happens when a bookseller does not want to stock or sell a specific title? Does this act represent a decision to censor a title? Or, perhaps, does it reflect a bookseller's belief that a book would offend customers (the moral or political argument)? In this article the author explores covert (which he terms an “unspoken ambivalence”) and overt (“we do not carry books of that type”) forms of “title selection” that help perpetuate some forms ofde facto censorship within the bookselling community.     

Referenced Publication Years Spectroscopy applied to iMetrics: Scientometrics,Journal of Informetrics,and a relevant subset of JASIST

We have developed a (freeware) routine for “Referenced Publication Years Spectroscopy” (RPYS) and apply this method to the historiography of “iMetrics,” that is, the junction of the journals Scientometrics, Informetrics, and the relevant subset of JASIST (approx. 20%) that shapes the intellectual space for the development of information metrics (bibliometrics, scientometrics, informetrics, and webometrics). The application to information metrics (our own field of research) provides us with the opportunity to validate this methodology, and to add a reflection about using citations for the historical reconstruction. The results show that the field is rooted in individual contributions of the 1920s to 1950s (e.g., Alfred J. Lotka), and was then shaped intellectually in the early 1960s by a confluence of the history of science (Derek de Solla Price), documentation (e.g., Michael M. Kessler's “bibliographic coupling”), and “citation indexing” (Eugene Garfield). Institutional development at the interfaces between science studies and information science has been reinforced by the new journal Informetrics since 2007. In a concluding reflection, we return to the question of how the historiography of science using algorithmic means—in terms of citation practices—can be different from an intellectual history of the field based, for example, on reading source materials.     

Are governments complying with transparency? Findings from 15 years of evaluation

How well do governments comply with their own transparency statutes? Alarmingly, answers to this question are in short supply because of patchy comparative data. This study begins to address this gap by analyzing an exhaustive compilation of 265 transparency compliance evaluations (i.e. audits) authored by NGOs, academics, and government oversight authorities across Latin America between 2003 and 2018. Aggregating data on patterns of evaluation and public sector compliance with transparency statutes, we find modest increases in compliance over time, strikingly low compliance with passive transparency compliance (i.e. governmental responses to citizen requests) at the local versus national levels of government, and significantly higher compliance scores when government oversight agencies act as evaluators. Our data also reveal worrying gaps in evaluation efforts. Evaluators tend to focus far more on active transparency (i.e. website-based disclosure) than passive transparency, more on national level governments than subnational governments, and preponderantly on the executive as opposed to legislative or judicial branches of government. Textual analyses show that education is the most evaluated policy theme, with financial policies and social services close behind. In presenting the first large-scale cross-national assessment of transparency compliance, the current study brings to light trends in the effectiveness of transparency regimes and patterns of transparency evaluation across Latin America.     

Social media engagement forms in government: A structure-content framework

This article presents a structure-content framework to characterize social media engagement between government and the public because related scholarship fails to adequately link the concepts. The term structure refers to the flow of information—or the direction of messages from one type of account to another (e.g., a government agency to the public or vice versa) and the extent to which they interact. The term content represents the messages' intended goals and meaning. This framework integrates both concepts, notably the communication modes model (an example of structure) with content categories such as transparency, symbolic presentation, customer service, coproduction, and citizen participation. Because it is more comprehensive than typologies focused on either concept alone, the article more thoroughly conveys the complexity of available engagement opportunities. Facebook data from Hurricane Florence exemplify the model and account for both routine and critical operating conditions.     

Local e-government 2.0: Social media and corporate transparency in municipalities

Various authors have highlighted the potential contribution of the internet to enhance the interactivity, transparency, and openness of public sector entities and to promote new forms of accountability. The search for new styles of governance which promote higher levels of transparency and the engagement of citizens is viewed as a way of improving citizens' trust in governments. As the social media are becoming ubiquitous, both academics and practitioners need some initial and reliable background data about the deployment of this kind of technology at all levels. The aim of this work is to provide an overall view about the use of Web 2.0 and social media tools in EU local governments in order to determine whether local governments are using these technologies to increase transparency and e-participation, opening a real corporate dialog. In addition, the paper tries to identify which factors promote the level of development of these tools at local level. Our results show that most local governments are using Web 2.0 and social media tools to enhance transparency but, in general, the concept of corporate dialog and the use of Web 2.0 to promote e-participation are still in their infancy at the local level.     

A logit model to assess the transparency of Italian public administration websites

The reform of Italian public administration, which started in the 1990s, shifted the consolidated paradigm towards a results-oriented management of the res publica. The new regulatory framework emphasised the role of the evaluation process carried out by the designated audit authorities (OIV or NDV); legislators provided a new information system principally making accessible the audit-related data and other information via the institutional websites of Italian cities. In this context, the Minister of Public Administration promoted the platform called ‘Bussola della Trasparenza’, the goal of which is to ensure easy access to institutional data of the municipalities and to evaluate the available information. However, we found that the results provided by this platform were unreliable. Our study of 525 municipalities showed severe discrepancies with Bussola's evaluation, suggesting a lack of transparency. We therefore propose a logit model as an alternative framework to evaluate the probability that a municipal website is compliant with the new regulations using a set of predictors to consider a broader and more complete definition of transparency. This model is thought to be a practical tool to correctly evaluate the compliance of municipal websites.     

Exploiting entity relationship for query expansion in enterprise search

Enterprise search is important, and the search quality has a direct impact on the productivity of an enterprise. Enterprise data contain both structured and unstructured information. Since these two types of information are complementary and the structured information such as relational databases is designed based on ER (entity-relationship) models, there is a rich body of information about entities in enterprise data. As a result, many information needs of enterprise search center around entities. For example, a user may formulate a query describing a problem that she encounters with an entity, e.g., the web browser, and want to retrieve relevant documents to solve the problem. Intuitively, information related to the entities mentioned in the query, such as related entities and their relations, would be useful to reformulate the query and improve the retrieval performance. However, most existing studies on query expansion are term-centric. In this paper, we propose a novel entity-centric query expansion framework for enterprise search. Specifically, given a query containing entities, we first utilize both unstructured and structured information to find entities that are related to the ones in the query. We then discuss how to adapt existing feedback methods to use the related entities and their relations to improve search quality. Experimental results over two real-world enterprise collections show that the proposed entity-centric query expansion strategies are more effective and robust to improve the search performance than the state-of-the-art pseudo feedback methods for long natural language-like queries with entities. Moreover, results over a TREC ad hoc retrieval collections show that the proposed methods can also work well for short keyword queries in the general search domain.     

Memorial design as information creation: Honoring the past through co-production of an informing aesthetic

Information behavior scholars are increasingly exploring information creation; however, these studies focus primarily on individuals' processes. The Melbourne Korean War Memorial (MKWM) used an interdisciplinary co-creation process, combining expertise in architecture, industrial design, engineering, and history. Over a two-year period, the MKWM research/design team worked with government officials and community members, from ideation and prototype design, through construction and installation of the completed memorial. The finished product informs the viewer about historic events, while also meeting architectural and design best practices. The co-authors' analysis of the information co-creation process constructs a new model of an informing aesthetic, where the memorial design embeds three types of information: explicit (e.g., photographs); implicit (e.g., national flowers); and embodied (e.g., pathway elevation). By combining research expertise with community feedback, while meeting technical and government design needs, the memorial informs about the war through a combination of statistics, storytelling, and visual knowledge representations.     

The Door-in-the-Face Persuasive Message Strategy: A Meta-Analysis of the First 35 Years

A random-effects meta-analysis was undertaken to examine the effectiveness of the Door-in-the-Face (DITF) persuasive message strategy on compliance. Results indicate an overall significant effect of the DITF strategy on verbal compliance (k=78, r=.126), but an insignificant effect for behavioral compliance (k=39, r=.052). In terms of verbal compliance, the DITF strategy works significantly better than controls for different samples, across varied communication media, and for prosocial causes. Additionally, the DITF technique is more successful than controls for volunteering/research than other target behaviors (e.g., monetary donation). For both verbal and behavioral compliance outcomes, the toughness (measured as amount of baseline compliance) of the donation context negatively predicted the magnitude of the DITF effect. It is argued social responsibility theory best accounts for observed moderator factors.     

Discoverability of information on clinical trial data-sharing platforms

Objective:This study was intended to (1) provide clinical trial data-sharing platform designers with insight into users'' experiences when attempting to evaluate and access datasets, (2) spark conversations about improving the transparency and discoverability of clinical trial data, and (3) provide a partial view of the current information-sharing landscape for clinical trials.Methods:We evaluated preview information provided for 10 datasets in each of 7 clinical trial data-sharing platforms between February and April 2019. Specifically, we evaluated the platforms in terms of the extent to which we found (1) preview information about the dataset, (2) trial information on ClinicalTrials.gov and other external websites, and (3) evidence of the existence of trial protocols and data dictionaries.Results:All seven platforms provided data previews. Three platforms provided information on data file format (e.g., CSV, SAS file). Three allowed batch downloads of datasets (i.e., downloading multiple datasets with a single request), whereas four required separate requests for each dataset. All but one platform linked to ClinicalTrials.gov records, but only one platform had ClinicalTrails.gov records that linked back to the platform. Three platforms consistently linked to external websites and primary publications. Four platforms provided evidence of the presence of a protocol, and six platforms provided evidence of the presence of data dictionaries.Conclusions:More work is needed to improve the discoverability, transparency, and utility of information on clinical trial data-sharing platforms. Increasing the amount of dataset preview information available to users could considerably improve the discoverability and utility of clinical trial data.     

Intertribal dance and cross cultural communication: Traditional powwows in Ohio

Greater fear arousal is associated with greater engagement with persuasive messages, and negative information and events are more potent than their positive counterparts. Hence loss-framed persuasive appeals, which emphasize the undesirable outcomes of noncompliance with the communicator's recommendations, should elicit greater message processing than do gain-framed appeals, which emphasize the desirable outcomes of compliance. But a meta-analytic review (based on 42 effect sizes, N = 6,378) finds that gain-framed messages engender slightly but significantly greater message engagement than do loss-framed messages. This effect is apparently not a result of whether the appeals refer to obtaining or averting negative (e.g., “skin cancer”) rather than positive (e.g., “attractive skin”) outcomes.     

Artificial intelligence in local government services: Public perceptions from Australia and Hong Kong

Despite the exponential growth in the popularity of artificial intelligence (AI), our knowledge on the public perception of AI, especially in the context of local government services, is still limited. To bridge this gap, this study aims to provide empirical evidence and insights into public perceptions concerning the use of AI in local government services. Our methodological approach involves collecting data via an online survey from the residents of three major Australian cities—i.e., Sydney, Melbourne, Brisbane—and Hong Kong (n = 850), and performing statistical analyses. We found that: (a) Ease of using AI is significantly and positively influenced by attitude towards AI; (b) Attitude towards AI significantly and positively influences perceived usefulness of AI in local government services; (c) AI is seen useful in resource management and to improve delivery of service, reduction of cost to provide urban-service, improvement of public safety, and monitoring the effectiveness of strategies to manage environmental crisis, and; (d) AI is more positively perceived by Australians in comparison to Hong Kongers, indicating the impact of contextual and cultural differences. The research findings inform local government authorities—e.g., urban policymakers, managers, and planners—on their AI policy, planning and implementation decisions.     

Credibility-inspired ranking for blog post retrieval

Credibility of information refers to its believability or the believability of its sources. We explore the impact of credibility-inspired indicators on the task of blog post retrieval, following the intuition that more credible blog posts are preferred by searchers. Based on a previously introduced credibility framework for blogs, we define several credibility indicators, and divide them into post-level (e.g., spelling, timeliness, document length) and blog-level (e.g., regularity, expertise, comments) indicators. The retrieval task at hand is precision-oriented, and we hypothesize that the use of credibility-inspired indicators will positively impact precision. We propose to use ideas from the credibility framework in a reranking approach to the blog post retrieval problem: We introduce two simple ways of reranking the top n of an initial run. The first approach, Credibility-inspired reranking, simply reranks the top n of a baseline based on the credibility-inspired score. The second approach, Combined reranking, multiplies the credibility-inspired score of the top n results by their retrieval score, and reranks based on this score. Results show that Credibility-inspired reranking leads to larger improvements over the baseline than Combined reranking, but both approaches are capable of improving over an already strong baseline. For Credibility-inspired reranking the best performance is achieved using a combination of all post-level indicators. Combined reranking works best using the post-level indicators combined with comments and pronouns. The blog-level indicators expertise, regularity, and coherence do not contribute positively to the performance, although analysis shows that they can be useful for certain topics. Additional analysis shows that a relative small value of n (15–25) leads to the best results, and that posts that move up the ranking due to the integration of reranking based on credibility-inspired indicators do indeed appear to be more credible than the ones that go down.     

The rise of the machines: Artificial intelligence meets scholarly content

Key points

• New forms of human/machine dialogue are emerging as robots understand vast amounts of content rather than simply indexing content as strings of characters.
• Recognizing strings of characters as entities (e.g. = names = authors) allows for meaningful associations between entities and reasoning over these relationships.
• Web‐scale adoption of the Semantic Web approach has been slow because it is too complex to implement and does not scale.
• User intent, discovered through conversational models of human–computer interaction, allows for a deeper understanding of exactly what researchers are looking for.
• Personal agents hold the promise of finding information that we will find useful before we have started to look for it.
• Publishers can use Academic Knowledge APIs to interpret academic user queries and find rich information from the Microsoft Academic Graph.

     

Developing the tasks-toward-transparency (T3) model for research transparency in open science using the lifecycle as a grounding framework

An increasingly data-intensive research environment has highlighted the need for greater research transparency to facilitate integrity and trust in open science and in the conduct of research more widely. The initial findings of faculty researchers' behaviors and practices toward research transparency, using the research data lifecycle as a grounding framework are reported. Four focus group sessions were conducted with faculty researchers in different disciplines, including natural sciences, social sciences, engineering, and different transparency practices were captured using the researchers' own language. Four generic transparency components were identified: action verb, object, task, and stage in the research lifecycle. The inter-relationships between specific transparency components were visualized using network visualizations. The network visualizations suggest that the lifecycle stages of Process/Visualize/Analyze and Publish/Preserve/Archive are key points for transparency, where ‘data’ play a critical role demonstrated by the multiple node-edge relationships. Based on the findings, a conceptual model, termed the Tasks-Toward-Transparency (T3) Model, was developed. This model may inform researcher practices and support research stakeholders whose role is to articulate and deliver transparency advocacy, policy, training programs, and services.     

Archives of the new possession: Spanish colonial records and the American creation of a ‘national’ archives for the Philippines

Through the Treaty of Paris in 1898, Spain ceded to the United States all its colonial authority over the Philippines, including its other colonies. The Treaty also placed in American possession the Spanish records kept in the various agencies of the former colonial administration of the islands. Upon assumption of its role as the new de facto colonial regime, the American insular government initiated the process of collecting the Spanish colonial records to be housed in a central repository that became the nucleus of the National Archives of the Philippines. An important aspect of understanding the context of archives in post-colonial Philippines is to trace its early beginnings and to examine the archives’ association with former colonial powers. Established against the backdrop of the shift in the continuum of colonial regimes, the archive is undeniably a colonial creation and a manifestation of colonial domination. For the contemporary imagination, however, its very presence represents a common and collective past that consequently contributes to the formation of a “national consciousness” and ironically reinforces the idea of nationhood of the formerly colonized territory.     

<Emphasis Type="Italic">EveTAR</Emphasis>: building a large-scale multi-task test collection over Arabic tweets

This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. The adopted approach (demonstrated over Arabic tweets) designs the collection around significant (i.e., popular) events, which enables the development of topics that represent frequent information needs of Twitter users for which rich content exists. That inherently facilitates the support of multiple tasks that generally revolve around events, namely event detection, ad-hoc search, timeline generation, and real-time summarization. The key highlights of the approach include diversifying the judgment pool via interactive search and multiple manually-crafted queries per topic, collecting high-quality annotations via crowd-workers for relevancy and in-house annotators for novelty, filtering out low-agreement topics and inaccessible tweets, and providing multiple subsets of the collection for better availability. Applying our methodology on Arabic tweets resulted in EveTAR, the first freely-available tweet test collection for multiple IR tasks. EveTAR includes a crawl of 355M Arabic tweets and covers 50 significant events for which about 62K tweets were judged with substantial average inter-annotator agreement (Kappa value of 0.71). We demonstrate the usability of EveTAR by evaluating existing algorithms in the respective tasks. Results indicate that the new collection can support reliable ranking of IR systems that is comparable to similar TREC collections, while providing strong baseline results for future studies over Arabic tweets.     

Audience Engagement,Reciprocity, and the Pursuit of Community Connectedness in Public Media Journalism

In light of the media industry’s growing focus on audience engagement, this article explores how online and offline forms of engagement unfold within journalism, based on a comparative case study of two American public media newsrooms. This study addresses gaps in the literature by (1) examining what engagement means for public media and (2) applying the concept of reciprocal journalism to evaluate the nature of reciprocity (direct, indirect, or sustained) in the give-and-take between journalists and their communities. Drawing on direct observation and in-depth interviews, this article shows how this emerging focus on engagement is driven by public media journalists’ desire to make their relationship with the public more enduring and mutually beneficial. We find that such journalists privilege offline modes of engagement (e.g., listening sessions and partnerships with local organizations) in hopes of building trust and strengthening ties with their community, more so than digital modes of engagement (e.g., social media) that are more directly tied to news publishing. Moreover, this case study reveals that public media organizations, in and through their engagement efforts, are distinguishing between the communities they cover in their reporting and the audiences they reach with their reporting.