The Transformation of Collective Intelligence

2014 ◽  
pp. 323-341
Author(s):  
Lesley S. J. Farmer
Keyword(s):  
Social Media ◽  
Intellectual Capital ◽  
Digital Technology ◽  
Collective Intelligence ◽  
Knowledge Society ◽  
Human Interaction ◽  
Collective Knowledge ◽  
Interactive Technologies ◽  
Interactive Mode ◽  
Heterogeneous Groups

Today's knowledge society depends on intellectual capital, that is, collective knowledge and informational assets. Increasingly, the global scene reflects a more interactive mode relative to information, particularly because of social media. As heterogeneous groups bring different expertise and perspectives, their gathered and organized knowledge can lead to more informed decisions and resultant actions. This collective intelligence has been transformed with the advent of easily accessible interactive technologies. This chapter explains collective intelligence and its elements, theories that relate to collective intelligence, conditions for its optimum collective intelligence, and its transformation through digital technology, particularly social media. The chapter also explains human interaction for collective intelligence, and how it can be enhanced through technology, citing several studies.

The Transformation of Collective Intelligence

Crowdsourcing ◽  
2019 ◽  
pp. 1-20
Author(s):  
Lesley S. J. Farmer
Keyword(s):  
Social Media ◽  
Intellectual Capital ◽  
Digital Technology ◽  
Collective Intelligence ◽  
Knowledge Society ◽  
Human Interaction ◽  
Collective Knowledge ◽  
Interactive Technologies ◽  
Interactive Mode ◽  
Heterogeneous Groups

Today's knowledge society depends on intellectual capital, that is, collective knowledge and informational assets. Increasingly, the global scene reflects a more interactive mode relative to information, particularly because of social media. As heterogeneous groups bring different expertise and perspectives, their gathered and organized knowledge can lead to more informed decisions and resultant actions. This collective intelligence has been transformed with the advent of easily accessible interactive technologies. This chapter explains collective intelligence and its elements, theories that relate to collective intelligence, conditions for its optimum collective intelligence, and its transformation through digital technology, particularly social media. The chapter also explains human interaction for collective intelligence, and how it can be enhanced through technology, citing several studies.

Cross-Cultural Aspects of Collective Intelligence Online

2019 ◽  
pp. 1-21
Author(s):  
Lesley S. J. Farmer
Keyword(s):  
Social Media ◽  
Intellectual Capital ◽  
Collective Intelligence ◽  
Group Interaction ◽  
Cross Cultural ◽  
Collective Knowledge ◽  
Interactive Technologies ◽  
Online Technology ◽  
Interactive Mode ◽  
Cultural Aspects

Today's wisdom society depends on intellectual capital, that is, collective knowledge and informational assets. Increasingly, the global scene reflects a more interactive mode relative to information, particularly because of social media. As heterogeneous groups bring different expertise and perspectives, their gathered and organized knowledge can lead to more informed decisions and resultant actions. This collective intelligence has been transformed with the advent of easily accessible interactive technologies. Adding to the complexity, cross-cultural aspects impact the processes leading to collective intelligence as culture impacts individual and group interaction. This chapter explores the intersection of collective intelligence, online technology, and cross-cultural aspects. The chapter also shares research-based conditions to optimize that intersection.

Collective Intelligence in Online Education

2018 ◽  
pp. 285-305
Author(s):  
Lesley S. J. Farmer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Education ◽  
Collective Intelligence ◽  
Cultural Factors ◽  
Interactive Mode ◽  
Educational Theories ◽  
Impact Of Technology ◽  
The Impact

Collective intelligence may be loosely defined as the capacity of a group to think, learn, and create collectively. Online education reflects an interactive mode relative to information, particularly because of social media, that can involve expertise and resources that generate collective intelligence to address issues. Several theories reflect a belief in the dynamic and situational meanings that collectives create. The impact of technology, particularly in terms of social networks, also informs collective intelligence-related educational theories. This chapter explains conditions for optimum use of collective intelligence, noting individual and group behaviors, cultural factors, and its application in online education.

Understanding intellectual capital disclosure in online media Big Data

2018 ◽  
Vol 26 (3) ◽  
pp. 499-530 ◽  
Author(s):  
Valentina Ndou ◽  
Giustina Secundo ◽  
John Dumay ◽  
Elvin Gjevori
Keyword(s):  
Social Media ◽  
Big Data ◽  
Intellectual Capital ◽  
Collective Intelligence ◽  
Online Media ◽  
Online Data ◽  
Content Type ◽  
Future Goals ◽  
Research Stream ◽  
Media Channels

PurposeIntellectual capital disclosure (ICD) in universities is gaining increasing attention, especially through the adoption of innovative technologies. Online media, as a relevant source of Big Data, is shifting ICD. The purpose of this paper is to explore how Big Data generated through online media, such as websites and platforms like Facebook, can be used as rich sources of data and viable disclosure channels for ICD in a university.Design/methodology/approachThis is an exploratory case study, following the methodology in Yin (2014), that examines how online media data contributes to closing the ICD gap. The IC disclosed through different online media channels by a private university in Albania is analysed using Secundo et al.’s (2016) collective intelligence framework. The online data sources include the university’s website, Facebook page, periodic reports and statements outlining future goals.FindingsWhat the authors discover in this research is that IC is an important part of how universities operate, and IC is communicated through social media, although unintentionally. However, this only serves to highlight the importance of IC, and if researchers want to discover IC and understand how it works in an organisation, they need to include social media and a prime resource for developing that understanding.Research limitations/implicationsMost importantly, the findings add to a growing consensus that ICD researchers, and researchers in other management and accounting disciplines, who traditionally rely on annual corporate social responsibility and other periodic reports, they need to change their medium of analysis because these reports no longer can be relied on to understand IC and its impact on an organisation.Originality/valueOnline media tools and the advent of Big Data have created new opportunities for universities to disclose their IC information to stakeholders in a timely manner and to gain relevant insights into their impact on the society. The originality of the paper resides in the contribution of Big Data to the ICD research stream.

Collective Intelligence in Online Education

Crowdsourcing ◽  
2019 ◽  
pp. 1103-1123
Author(s):  
Lesley S. J. Farmer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Online Education ◽  
Collective Intelligence ◽  
Cultural Factors ◽  
Interactive Mode ◽  
Educational Theories ◽  
Impact Of Technology ◽  
The Impact

Collective intelligence may be loosely defined as the capacity of a group to think, learn, and create collectively. Online education reflects an interactive mode relative to information, particularly because of social media, that can involve expertise and resources that generate collective intelligence to address issues. Several theories reflect a belief in the dynamic and situational meanings that collectives create. The impact of technology, particularly in terms of social networks, also informs collective intelligence-related educational theories. This chapter explains conditions for optimum use of collective intelligence, noting individual and group behaviors, cultural factors, and its application in online education.

RepPer: Perception of Psychiatric Disorders on Twitter in French (Preprint)

2020 ◽  
Author(s):  
Sarah Delanys ◽  
Farah Benamara ◽  
Véronique Moriceau ◽  
François Olivier ◽  
Josiane Mothe
Keyword(s):  
Social Media ◽  
Psychiatric Disorders ◽  
Digital Technology ◽  
Psychotic Disorders ◽  
Negative Polarity ◽  
Machine Learning Algorithms ◽  
Annotation Scheme ◽  
Word Use ◽  
Wide Range ◽  
Initial Dataset

BACKGROUND With the advent of digital technology and specifically user generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French. OBJECTIVE Our aim is to study how generic, nosographic and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has three complementary goals: (1) to analyze the types of psychiatric word use namely medical, misuse, irrelevant, (2) to analyze the polarity conveyed in the tweets that use these terms (positive/negative/neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English ). METHODS Our study has been conducted on a corpus of tweets in French posted between 01/01/2016 to 12/31/2018 and collected using dedicated keywords. The corpus has been manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. Two analysis have been performed. First a qualitative analysis to measure the reliability of the produced manual annotation, then a quantitative analysis considering mainly term frequency in each layer and exploring the interactions between them. RESULTS One of the first result is a resource as an annotated dataset . The initial dataset is composed of 22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3,040 tweets that corresponds to the resource resulting from our work. The second result is the analysis of the annotations; it shows that terms are misused in 45.3% of the tweets and that their associated polarity is negative in 86.2% of the cases. When considering the three types of term use, 59.5% of the tweets are associated to a negative polarity. Misused terms related to psychotic disorders (55.5%) are more frequent to those related to mood disorders (26.5%). CONCLUSIONS Some psychiatric terms are misused in the corpora we studied; which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks which are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced; so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media.

Decolonizing Science, Digitizing the Occult: Theory from the Virtual South

2021 ◽  
Vol 64 (1) ◽  
pp. 86-104
Author(s):  
Sasha Newell
Keyword(s):  
Social Media ◽  
Intimate Relationships ◽  
Digital Technology ◽  
World Wide ◽  
Western Science ◽  
The World ◽  
University Of Cape Town ◽  
The University ◽  
Second World ◽  
Forms Of Knowledge

AbstractIn this article Newell uses two case studies to explore one of the central threads of Mbembe’s Abiola lecture, the idea that there is a relationship between the plasticity of digital technology and African cosmologies of the deuxième monde. One case concerns the viral YouTube video #sciencemustfall, in which students at the University of Cape Town criticize “Western” science and demand that African forms of knowledge such as witchcraft be incorporated into the meaning of science. The second case considers fieldwork among the brouteurs of Côte d’Ivoire, internet scammers who build intimate relationships on false premises using social media. They acquire shocking amounts of wealth in this way which they display on their own social media accounts. However, they are said to use occult means to seduce and persuade their virtual lovers, trapping their prey in the sticky allure of the world wide web. Newell uses both examples to highlight the overlaps between the transformational efficacies embedded in both occult ontologies and digital worldings, calling for the possibility of using African cosmologies of the second world to produce a ‘theory from the south’ of virtual sociality.

Intellectual capital disclosure on Twitter – empirical evidence from the world’s largest companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Łukasz Bryl ◽  
Justyna Fijałkowska ◽  
Dominika Hadro
Keyword(s):  
Social Media ◽  
Intellectual Capital ◽  
Recent Literature ◽  
Future Research ◽  
Corporate Disclosure ◽  
Content Type ◽  
Management Philosophy ◽  
Business Units ◽  
Structural Capital ◽  
Practical Implications

Purpose This study aims to examine intellectual capital disclosure (ICD) on Twitter by 60 of the world’s largest companies and explains the main themes communicated to stakeholders. The second objective is to determine which topics provoke most stakeholders’ reactions. Design/methodology/approach The authors perform content analysis on more than 42,000 tweets to examine ICD practices along with the reactions of stakeholders in the form of retweets and “favorites” toward the information disclosed. Findings Intellectual capital (IC) is an important theme in corporate disclosure practices, as more than one-third of the published tweets refer to IC. The world’s largest companies focus on relational capital information, followed by human and structural capital. The main IC themes disclosed were management philosophy, corporate reputation and business partnering. Tweets related to IC are of greater interest to stakeholders than other tweets and provoke more reactions. There is no complete consistency between the topics most intensively disclosed by companies and those that elicit the most vivid responses from the addressees. Practical implications This study offers an understanding of the world’s largest companies’ practices that refer to ICD via social media and has implications for organizations in the creation and use of communication channels when developing a dialogue with stakeholders on topics regarding IC that may lead to better management of IC performance. Originality/value This paper is a response to the call for studies on ICD via social media, which is strongly highlighted in the recent literature concerning future research on IC and until now was almost absent in the field of business units. This research provides in-depth insights into the use of Twitter to disclose IC elements and indicates which fields and topics of this disclosure provoke stakeholders’ reactions, which is a novelty in ICD studies.

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