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The purpose of this study is to examine how factual information and misinformation are being shared on Twitter by identifying types of social media users who initiate the information diffusion process.

This study used a mixed methodology approach to analyze tweets with COVID-19-related hashtags. First, a social network analysis was conducted to identify social media users who initiate the information diffusion process, followed by a quantitative content analysis of tweets by users with more than 5K retweets to identify what COVID-19 claims, factual information, misinformation and disinformation was shared on Twitter.

Results found very little misinformation and disinformation distributed widely. While health experts and journalists shared factual COVID-19-related information, they were not receiving optimum engagement. Tweets by citizens focusing on personal experience or opinions received more retweets and likes compared to any other sender type. Similarly, celebrities received more replies than any other sender type.

This study helps medical experts and government agencies understand the type of COVID-19 content and communication being shared on social media for population health purposes.

This study offers insight into how social media users engage with COVID-19-related information on Twitter and offers a typology of categories of information shared about the pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2021-0143/.

The development of information technology has made it possible for companies to get access to information about their customers ' future demand. This paper outlines various approaches to utilize this kind of visibility when managing inventories of end products on an operative level. The purpose is to explain the consequences, for capital tied up in inventory, of sharing four different types of planning information (point-of-sales data, customer forecasts, stock-on-hand data, planned orders) when using re-order point (R,Q) inventory control methods in a distribution network.

A simulation study based on randomly generated demand data with a compound Poisson type of distribution is conducted.

The results show that the value of information sharing in operative inventory control varies widely depending on the type of information shared, and depending on whether the demand is stationary or not. Significantly higher value is achieved if the most appropriate types of information sharing are used, while other types of information sharing rather contribute to decreased value. Sharing stock-on-hand information is valuable with stationary demand. Customer forecast and planned order information are valuable with non-stationary demand. The value of information sharing increases when having fewer customers, and when the order quantities are large. Sharing point-of-sales data is not valuable, regardless of the demand type.

The use of simulation methodology is a limitation, because the study has to be limited to a specific model design, and because it is not based on primary empirical data. The study is especially limited to dyadic relationships in supply chains, and to distribution networks with a rather limited number of customers.

Guidance is given about what type of information should be appropriate to share when different types of demand patterns and distribution networks, and how order batch sizes and lead times affect the value of information sharing when using re-order point (R,Q) methods.

Very limited research providing specific assessments of potential inventory control consequences when sharing planning information in various contexts has been found in the literature. The findings and conclusions also question some previous research on information sharing.

Finding specific information on the Web can be difficult and time‐consuming due to the Web’s tremendous size and the current speed of network connections. Information agents that search the Web on behalf of users are invaluable. Since information needs are diverse, there should be tools for users to build their own agents that specialize in finding the information they want. These tools should be usable by non‐programmers. This paper describes ARIS, a shell for constructing information agents without coding. Our approach is akin to expert system shells, where the user supplies the knowledge for each specialist agent, and a common engine utilizes the agents’ knowledge. An agent’s search is guided by knowledge about how Web sites in a given domain are typically structured. We also report on our experiences with two agents built using ARIS.

In part 1 of this paper the organisation was modelled as a socio‐cognitive agency with a normative personality, where patterns of behaviour occur through underlying trait control processes, and from which specific behaviours can be predicted. However, prediction is dependent on a stable agency orientation which occurs in normal conditions of homeostatic equilibrium. In post‐normal conditions the immanent dynamics of the agency have the potential to change its orientation leading to a lesser likelihood of predicting behaviour. Using information theory, this paper aims to further develop the model to show how it is possible to predict behaviour in post‐normal conditions. It also aims to consider the nature of agency pathologies.

The information theory approach of Frieden is harnessed to explain the immanent dynamics of the agency, and explore the likelihood of predicting its behaviour.

The outcomes of the research formulate the cognitive processes of normative personality such that its potential behaviour in given situations can be predicted, even potentially where the agency has pathologies.

There are no comparative approaches to explore organisational behaviour and their potential pathologies.

The purpose of this paper is to investigate information retrieval (IR) in the context of authentic work tasks (WTs), as compared to traditional experimental IR study designs.

The participants were 22 professionals working in municipal administration, university research and education, and commercial companies. The data comprise 286 WTs and 420 search tasks (STs). The data were collected in natural situations. It includes transaction logs, video recordings, interviews, observation, and daily questionnaires.

The analysis included the effects of WT type and complexity on the number of STs, queries, search keys and types of queries. The findings suggest that simple STs are enough to support most WTs. Complex WTs (vs more simple ones) and intellectual WTs (vs communication, support and editing WTs) include more STs than other WT categories.

Further research should address the problems related to controllability of field studies and enhance the use of realistic WT situations in test-based studies, as well.

The study is an attempt to bring traditional IR studies and realistic research settings closer to each other. Using authentic WTs when studying IR is still rare. The representativeness of the WT/ST types used in interactive IR experiments should be carefully addressed: in the work flow, people seldom consciously recognise separate “STs”. This means that STs may mainly be an academic construct even to the point that studying IR without a decent context does violence to the further understanding of the phenomenon.

Aims to study human information behaviour as part of the research project on the interaction of man and the information environment (project VEGA 1/9236/02) and to analyse library users' information behaviour on both sides of the information coin – information usage and information production/publishing.

The methodology was composed of the following steps: pilot studies of students' information‐seeking behaviour; a large‐scale questionnaire survey of users of academic and research libraries; data analyses and interpretations; verification of hypotheses; multiple data sorting; and modelling of user groups.

Library users appreciate easy access and well‐organised forms of information, with an emphasis on electronic sources. In their capacity as authors of professional papers, only few subjects considered print and electronic publishing to be equal. Two user types have been derived from the data analysis. Type S manifests pragmatic ways of information seeking and appreciates the low cost and speed of electronic publishing. Type A is characterised by analytic, in‐depth information processing, stressing the prestige and review process of print publishing.

Quantitative methods can form a starting‐point for typologies of human information behaviour. Additional qualitative methods, especially interviews with students, focus groups and observations, are planned for future research into modelling of users' information behaviour.

Based on the analysis, two information‐seeking styles have been identified: strategic and analytic. Differences between the search styles suggest that systems designers, knowledge managers and libraries should be open to the creative use and representation of electronic information, taking into account different information behaviours.

Previous research has demonstrated that task is the driving force for information retrieval (IR). However, few studies investigate how people engaged in work and search tasks define their decisions and behaviors in the IR process. The purpose of this paper is to investigate how dimensions of tasks affect the information‐seeking and retrieving process.

In total, 40 participants are recruited for the two studies conducted in a corporate setting as well as an academic setting. Multiple methods are applied to collect data related to participants' tasks and the information‐seeking and retrieving process: web surveys, questionnaires, diaries, and telephone interviews. Both qualitative and quantitative data are analyzed.

This paper identifies nature (routine, typical, and unusual), stages (pre‐focus, formation, and post‐focus), and timeframe (extremely urgent, urgent, and non‐urgent) as dimensions of work tasks as well as origination (self‐generated and assigned), types (updating information, looking for specific information, looking for items with common characteristics, and looking for known items), and flexibility (very flexible, flexible, and inflexible) as dimensions of search tasks. Moreover, the relationships between dimensions of work and search tasks and the information‐seeking process – in particular, the extent of planning, the application of different types of information‐seeking strategies, and shifts in search‐task‐related goals – are explored.

This paper fills in a gap in current research – the impact of dimensions of task on the information‐seeking and ‐retrieving process.

The purpose of this paper is to examine what types of task information media scholars need while gathering research data to create new knowledge.

The research design is qualitative and user-oriented. A total of 25 media scholars were interviewed about their research processes and interactions with their research data. The interviews were semi-structured, complemented by critical incident interviews. The analysis focused on the activity of gathering research data. A typology of information (task, domain and task-solving information) guided the analysis of information types related to data gathering, with further analysis focusing only on task information types.

Media scholars needed the following task information types while gathering research data to create new knowledge: (1) information about research data (aboutness of data, characteristics of data, metadata and secondary information about data), (2) information about sources of research data (characteristics of sources, local media landscapes) and (3) information about cases and their contexts (case information, contextual information). All the task information types should be considered when building data services and tools to support media scholars' work.

The paper increases understanding of the concept of task information in the context of gathering research data to create new knowledge and thereby informs the providers of research data services about the task information types that researchers need.

Social question and answer (social Q&A) sites have become a popular tool for obtaining music information. The purpose of this paper is to investigate what users ask about, what experience the questions convey, and how users specify their questions.

A total of 3,897 music questions from the social Q&A site Yahoo! Answers were categorized according to their question type, user experience, and question specification.

The music questions were diverse with (dis)approval (42 percent), factual (21 percent), and advice (15 percent) questions as the most frequent types. Advice questions were the longest and roughly twice as long as (dis)approval and factual questions. The user experience associated with the questions was most often pragmatic (24 percent) or senso-emotional (12 percent). Pragmatic questions were typically about the user’s own performance of music, while senso-emotional questions were about finding music for listening. Notably, half of the questions did not convey information about the user experience but the absence of such information did not reduce the number of answers. In specifying the questions, the most frequent information was about the music context and the user context.

This study suggests a division of labor between social Q&A sites and search engines for music information retrieval. It should be noted that the study is restricted to one social Q&A site.

Social Q&A sites provide an opportunity for studying what information real users seek about music and what information they specify to retrieve it, thereby elucidating the role of social Q&A in music information seeking.

This paper aims to add to the current knowledge about conflict management by examining the relationships between conflict type, conflict expression intensity and the use of the conflict management approach.

The authors test theory-based hypotheses using a field study of new product development teams in an interdisciplinary Masters program (Study 1) and an experimental vignette study (Study 2).

Results show that people are more likely to respond to task conflict and conflicts expressed with less intensity using collectivistic conflict management approaches (i.e. problem-solving, compromising and yielding), and to relationship conflicts and conflicts expressed with higher intensity through forcing, an individualistic conflict management approach. Information acquisition and negative emotions experienced by team members mediate these relationships.

Knowing how the characteristics of the conflict (type and expression intensity) affect conflict management, managers can counteract the tendency to use dysfunctional, forcing conflict management approaches in response to high intensity conflicts, as well as to relationship conflicts and support the tendency to use collectivistic conflict management approaches in response to low intensity conflict, as well as task conflicts.

The authors examine an alternative to the prevailing view that conflict management serves as a moderator of the relationship between conflict and team outcomes. The research shows that conflict type and intensity of conflict expression influence the conflict management approach as a result of the information and emotion they evoke. The authors open avenues for future research on the complex and intriguing relationships between conflict characteristics and the conflict management approach.