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Research problem: During humanitarian crises, communities of people face various types of dangers. To counter the dangers, they need information in a short period. Such need creates the opportunity for misinformation. Such misinformation can result in information harms that can generate short- or long-term consequences. Literature review: Prior researchers have tackled the situation by using technical or behavioral approaches. Research question: What are the harms from misinformation? We propose a taxonomy of 15 information harms grouped in 8 categories and assess the perception of risk regarding the harms through a survey of respondents who have experienced crisis response situations. Methodology: This paper examines two scenarios, the 2013 Boston Marathon bombing and the 2017 Oroville Dam evacuation order crises, through two dimensions: Likelihood of occurrence and Level of impacts of the harms. Results and conclusions: Findings are presented through visualization and test results for significant differences of harms between scenarios. Similar groups of harms are identified with different severity levels based on post hoc analyses: those with 1. high likelihood and low impact (psychological and confusion harms), 2. low likelihood and low impact (reputation and privacy harms), and 3. low likelihood and high impact (physical, financial, safety, and social harms). In addition to establishing the taxonomy of misinformation harms, findings will have practical value in emergency response and recovery activities to effectively prioritize resources to minimize specific harms from misinformation in crises. Further research directions are also discussed. [ABSTRACT FROM AUTHOR]

Correspondence analysis is a statistical method that allows researchers to explore relationships among complex categorical variables. This paper will provide researchers with the theoretical and practical foundations for understanding and applying correspondence analysis to their own research agendas. Problem: Technical communicators use a variety of research methods and collect a variety of types of data. Of particular interest to technical communicators is categorical data, or data that are not traditionally quantitative. For instance, technical communicators often collect and analyze language data from a variety of texts. Analyzing this type of data can be difficult using traditional statistical methods. Key concepts: Variable types, a priori versus exploratory research designs, contingency tables, and data visualization are central to understanding the foundations of correspondence analysis. Key lessons: To conduct correspondence analysis, a researcher must walk through a series of steps including: (1) determining whether correspondence analysis is appropriate, (2) choosing a statistical software package, (3) running the correspondence analysis, and (4) interpreting and applying the results. Implications for practice: While correspondence analysis provides many useful insights into categorical data, a researcher must consider several things when deciding to use correspondence analysis. These include the potential to misinterpret and misapply the results of a correspondence analysis. [ABSTRACT FROM AUTHOR]

Knowledge contribution in virtual communities is an important issue in the field of knowledge management. Based on Ames's theoretical framework on motivation, we propose a model for knowledge contribution in problem-solving virtual communities (PSVCs). The model includes two second-order individual motivations, with four major mechanisms in PSVCs that are associated with these motivations. Results confirm that only egoistic motives affect members' knowledge contribution in PSVCs. Further, knowledge repository and social identity are found to be important mechanisms for promoting knowledge contribution through egoistic motives. This paper concludes with theoretical and practical implications and provides insights for future research. [ABSTRACT FROM PUBLISHER]

Background: Past research has established the importance of discursive leadership in professional communication, but it has not systematically examined how conformity behaviors emerge as a potentially undesirable consequence of discursive leadership. Literature review: Review of the literature on the centrality of communication in leadership processes and conformity behavior suggest a void of analytic tools to adequately examine the negative consequences of discursive leadership. Research question: Are later interlocutors more likely to speak similarly to earlier ones if the earlier interlocutors occupy a more central position in the conversation network? Methodology: Based on 32,000 words of a transcribed meeting corpus, we measured conformity behaviors using Term Frequency-Inverse Document Frequency scores, which are widely used in the information retrieval setting. We also operationalized the strength of discursive leadership as a positional centrality measure in the conversation network using a matrix algebra approach in social network analysis. Results: Findings support the hypothesis that discursive leadership is associated with conformity in language aligned toward discursive leaders’ opinions. Conclusions: This study makes theoretical advances in understanding leadership construction and conformity behaviors between leaders and followers using empirical, authentic meeting data. We also give business people an applied understanding of the process of discursive leadership, which may help them to improve communication efficacy in their organizations by reducing overly conforming behaviors. We recommend that future research include more diverse participants and be combined with a survey to supplement the conversation data. [ABSTRACT FROM AUTHOR]

Research problem: The purpose of the study is to understand how affective reactions to color impact learning attitudes and outcomes in a computer-mediated learning environment. Research question: How do color differences change affective processes and outcomes in computer-mediated communication? Literature review: Several previous studies exploring particular characteristics and learning in computer-mediated environments influenced the review of the literature. The literature on color psychology indicates that color preferences and affective reactions to color can influence behaviors and attitudes. The literature on goal achievement motivation posits that affective dispositions influence goal orientation, motivation, and individual outcomes. The literature on affect infers that affective reactions are responses to events, and these reactions influence attitudes and behaviors. The current study draws on these prior studies to examine affective reaction to color and learning outcomes in a computer-mediated learning environment. Methodology: We conducted a quasiexperimental study with 79 participants, who listened to a visual presentation lecture with either blue or yellow background and then completed a survey on their affective reactions, learning attitudes, and outcomes. Results and discussion: The results of our study indicate that color is not neutral and may influence learning attitudes and outcomes and, hence, the color of computer technology interface design can influence learning outcomes. Practitioners and academics must take people's affective reactions to color into account in designs and studies of visual information presentations. The sample size and the focus on two color hues (yellow and blue) may have some limitations on the conclusions and generalizability of this study. Future studies should examine more color hues and color saturation to further our understanding of affective reactions to colors and consequent impact on attitudes and behavioral outcomes. [ABSTRACT FROM PUBLISHER]

Disaster areas and developing economies put great demands on relief and development personnel to adapt efficiently to fast-changing conditions. We draw on experiences at Mercy Corps and the literature on learning organizations, adaptive expertise, and communities of practice to identify five systemic tensions that need to be balanced when designing effective learning solutions: (1) employees' desire to learn versus the pressures of the job, (2) investing in strategic learning initiatives versus the need to keep organizational operating costs low, (3) formal learning versus informal learning, (4) maintaining flexibility within a local context versus organization-wide standards that create efficiency and accountability, and (5) people versus technology. We offer examples of possible solutions to the individual and organizational learning challenge in relief and development organizations. [ABSTRACT FROM AUTHOR]

Examines the effect of inductive versus deductive organizational patterns on Japan-based readers so as to identify what pattern may best suit them. Assessment of readers' comprehension of and preference for expository text that contains a thesis; Implications for native English speaking document designers; Effect of passage structure on idea unit recall.