Macro-level information transfer in social media: Reflections of crowd phenomena

2016 ◽  
Vol 172 ◽  
pp. 84-99 ◽  
Author(s):  
Minkyoung Kim ◽  
David Newth ◽  
Peter Christen
Refuge ◽  
2013 ◽  
Vol 29 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Nora Danielson

Communication between service providers and refugees about services, legal processes, and rights helps shape refugees’ experience of asylum but has, in Cairo, Egypt, been a source of misunderstandings and conflict. Based on qualitative pilot research, this paper explores the practices, challenges, and potentials of information technologies old and new in facilitating access to asylum in this southern city. Interviews with refugee and service providers and review of previous technology-based initiatives show that although service providers tend to rely on oral information transfer, other channels—print, phone, text messaging, websites, social media—hold significant capacity for growth. Existing practices and initiatives in Cairo demonstrate the potential for technology-based projects to overcome the geographic barriers of the urban setting and the range of literacy and languages in Cairo’s refugee communities. However, service providers and refugees require further funding and institutional support if this potential is to be realized.


Plant Disease ◽  
2018 ◽  
Vol 102 (9) ◽  
pp. 1681-1686 ◽  
Author(s):  
Daren S. Mueller ◽  
Adam J. Sisson ◽  
Rachel Kempker ◽  
Scott Isard ◽  
Conner Raymond ◽  
...  

The social media platform Twitter was used to monitor corn and soybean diseases in the United States during 2016 and 2017 as part of a campaign to involve crop scouts, farmers, educators, and agricultural advisors in disease data sharing. The purpose was to explore the feasibility of providing farmers and crop consultants with an easily accessible, user-friendly, no-cost platform for sharing disease observations with rapid information transfer and early warning capabilities. Two Twitter accounts were created, @soydisease and @corndisease, as part of an accessible data collection method for later input into the Integrated Pest Information Platform for Extension and Education (iPiPE). Multiple methods were employed to create awareness and recruit users, which included writing articles for extension and popular farm news outlets and directly contacting potential agribusiness and extension stakeholders. From the creation of the accounts in February 2016 through September 2017, there were 738 followers and 8,668 profile visits for @soydisease; and 1,149 followers and 17,294 profile visits for @corndisease, with a variety of contributors including university extension, industry agronomists and service providers, students, a commodity group, and agricultural news. During the 2016 and 2017 growing seasons, use of the Twitter disease-monitoring campaign successfully helped track the movement of southern rust (caused by Puccinia polysora) of corn northward, allowing for advanced notice for scouting efforts. Although this is only an initial attempt, it shows that representatives from across a wide variety of agricultural sectors can contribute to a plant disease monitoring system using a common social media engine.


2019 ◽  
Vol 30 (3) ◽  
pp. 942-951 ◽  
Author(s):  
Lanfang Liu ◽  
Yuxuan Zhang ◽  
Qi Zhou ◽  
Douglas D Garrett ◽  
Chunming Lu ◽  
...  

Abstract Whether auditory processing of speech relies on reference to the articulatory motor information of speaker remains elusive. Here, we addressed this issue under a two-brain framework. Functional magnetic resonance imaging was applied to record the brain activities of speakers when telling real-life stories and later of listeners when listening to the audio recordings of these stories. Based on between-brain seed-to-voxel correlation analyses, we revealed that neural dynamics in listeners’ auditory temporal cortex are temporally coupled with the dynamics in the speaker’s larynx/phonation area. Moreover, the coupling response in listener’s left auditory temporal cortex follows the hierarchical organization for speech processing, with response lags in A1+, STG/STS, and MTG increasing linearly. Further, listeners showing greater coupling responses understand the speech better. When comprehension fails, such interbrain auditory-articulation coupling vanishes substantially. These findings suggest that a listener’s auditory system and a speaker’s articulatory system are inherently aligned during naturalistic verbal interaction, and such alignment is associated with high-level information transfer from the speaker to the listener. Our study provides reliable evidence supporting that references to the articulatory motor information of speaker facilitate speech comprehension under a naturalistic scene.


2020 ◽  
Vol 38 (4) ◽  
pp. 523-541 ◽  
Author(s):  
Man Lai Cheung ◽  
Guilherme D. Pires ◽  
Philip J. Rosenberger ◽  
Mauro Jose De Oliveira

PurposeThis paper investigates the impact of brand interactivity within social media on consumer–brand engagement and its related outcomes, including consumers' intention of co-creating brand value and future repurchase of the same brand.Design/methodology/approachThe theoretical framework is tested for a durable technology product, a smartphone. Data was collected in Brazil from 408 users utilizing a self-administered online survey. Data analysis uses partial least squares–structural equation modelling (PLS-SEM).FindingsEntertainment interactivity, cognitive information-transfer interaction and cognitive up-to-date information interactivity are the key elements directly influencing consumer–brand engagement, enhancing consumers' intention to co-create brand value and to repurchase the brand. Importantly, the impact of interactivity ease of use and customization interactivity on consumer–brand engagement and its related outcomes is non-significant. This is inconsistent with previous studies on consumer–brand engagement.Research limitations/implicationsThe research contributes to the literature by providing an understanding of how to use brand interactivity elements on social-media platforms to strengthen consumer–brand engagement for durable technology products, such as smartphones in Brazil. However, this study is cross-sectional in nature and focus is solely on smartphones in Brazil. Future research might consider a longitudinal design and include comparisons between countries with diverse cultures as well as other industries and product types to enhance the generalizability of the findings.Practical implicationsMarketers may heighten consumer–brand engagement by using content that is entertaining, current and trendy. Incorporating positive referrals on social-media platforms encourages consumers to co-create brand value and to repurchase the same brand in the future.Originality/valueExamination of the role of social-media marketing in the marketing literature largely overlooks the impact of elements of brand interactivity within social media on consumer–brand engagement. This article contributes to social-media marketing and consumer–brand engagement research by empirically testing a theoretical model, confirming that specific elements of brand interactivity within social media – including entertainment interactivity, cognitive information-transfer interaction and cognitive up-to-date information interactivity – are critical drivers in the process of strengthening consumer–brand engagement in Brazil.


Author(s):  
Moemmur Shahzad ◽  
Ayesha Amin ◽  
Diego Esteves ◽  
Axel-Cyrille Ngonga Ngomo

We investigate the problem of named entity recognition in the user-generated text such as social media posts. This task is rendered particularly difficult by the restricted length and limited grammatical coherence of this data type. Current state-of-the-art approaches rely on external sources such as gazetteers to alleviate some of these restrictions. We present a neural model able to outperform state of the art on this task without recurring to gazetteers or similar external sources of information. Our approach relies on word-, character-, and sentence-level information for NER in short-text. Social media posts like tweets often have associated images that may provide auxiliary context relevant to understand these texts. Hence, we also incorporate visual information and introduce an attention component which computes attention weight probabilities over textual and text-relevant visual contexts separately. Our model outperforms the current state of the art on various NER datasets. On WNUT 2016 and 2017, our model achieved 53.48\% and 50.52\% F1 score, respectively. With Multimodal model, our system also outperforms the current SOTA with an F1 score of 74\% on the multimodal dataset. Our evaluation further suggests that our model also goes beyond the current state-of-the-art on newswire data, hence corroborating its suitability for various NER tasks.


Author(s):  
Anne Kaun ◽  
Carina Guyard

This chapter presents a survey study on attitudes towards political campaigning in social media. During the national election in Sweden in 2010, a considerable amount of resources was invested in online communication with the constituency, not least in social media. Whereas several studies have focused on e-democracy at a macro level, there is a lack of studies examining the phenomenon of campaigning 2.0 as it is perceived by the actual voters. This chapter, therefore, asks the question whether the voters noticed the political campaigning in social media at all, and if so, how they perceived it. The main findings are that respondents who were already interested and politically engaged considered campaigning 2.0, in line with the politicians’ rhetoric, as a way to enhance democracy. Respondents who were neither interested nor engaged in politics, on the other hand, showed little interest in this kind of communication. Consequently, the study confirms assumptions about digital divide and continued fragmentation of the citizenry.


Author(s):  
C.S. Agnes Cheng ◽  
Jing Fang ◽  
Yuan Huang ◽  
Yuxiang Zhong

We apply the moderated confidence hypothesis (MCH) to investigate overreaction and underreaction in intra-industry earnings information transfers in an international setting. MCH predicts that late announcing firms’ investors overreact (underreact) to early announcing industry peers’ earnings news when early announcing peers’ earnings news is imprecise (precise) signals of late announcing firms’ earnings. Consistent with early announcing peers’ earnings news being imprecise signals of late announcing firms’ earnings in an international setting, we find that late announcing firms’ investors overreact to early announcing peers’ earnings news. The country-level information environment and culture shape the precision of peers’ earnings as signals of each other’s earnings and investor behaviors. Consistent with MCH, we find that late announcing firms’ investors are more likely to underreact in countries with a richer information environment, are more likely to overreact in countries with higher individualism and are less likely to overreact in countries with higher uncertainty avoidance.


2021 ◽  
Vol 4 (2) ◽  
pp. 110
Author(s):  
Bora Erdem

In the aftermath of natural disasters and other catastrophes, social media usage has been reported to boost. Understanding how social media works is critical for the scientific community to advance our capacities and build a more buoyant society. With social media communication, the research community may communicate more quickly around the globe to disseminate the most important outcomes of disease, leading to a faster information transfer time to other medical professionals. It's important to organize research and information in this era of uncertainty and deliberate fake news. During the global epidemic of 2020, social media has developed into an accomplice as well as a potential threat(Anwar, Malik, Raees, - Anwar, 2020). It may be challenging for healthcare providers to discern truth from chaos when a significant volume of data is packed into a short period. One of social media's current flaws is its ability to quickly disseminate incorrect facts, which may be confounding and distracting. Researchers and professionals with advanced degrees are anticipated to be pioneers in delivering fact-based information to the general public (Chan, Nickson, Rudolph, Lee, - Joynt, 2020). Consequently, during times of distress, it is important to be pioneers in social media dialogues to give factual and helpful information and knowledge to those seeking answers.


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