Keynote presented at Locked out of Social Platforms: An iCS Symposium on Challenges to Studying Disinformation, IT University, Copenhagen, 27 Oct. 2018.
Input Presentation at the „Computational Communication Science: Towards a Strategic Roadmap” conference in Hannover (http://ccsconf.com/), 15th Feb 2018
Panel presented as part of the 2017 Data Power Conference (Ottawa, ON, June 23, 2017)
Anatoliy Gruzd (@gruzd), Jenna Jacobson (@jacobsonjenna), Priya Kumar (@link_priya), Philip Mai (@phmai)
Public data ecosystems in and for smart cities: how to make open / Big / smar...Anastasija Nikiforova
This is a set of slides used as part of my keynote "Public data ecosystems in and for smart cities: how to make open / Big / smart / geo data ecosystems value-adding for SDG-compliant Smart Living and Society 5.0" delivered at the 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) -> https://carmaconf2023.wordpress.com/keynote-speakers/. read more here -> https://anastasijanikiforova.com/2023/06/30/keynote-at-the-5th-international-conference-on-advanced-research-methods-and-analytics-carma-2023/
Input Presentation at the „Computational Communication Science: Towards a Strategic Roadmap” conference in Hannover (http://ccsconf.com/), 15th Feb 2018
Panel presented as part of the 2017 Data Power Conference (Ottawa, ON, June 23, 2017)
Anatoliy Gruzd (@gruzd), Jenna Jacobson (@jacobsonjenna), Priya Kumar (@link_priya), Philip Mai (@phmai)
Public data ecosystems in and for smart cities: how to make open / Big / smar...Anastasija Nikiforova
This is a set of slides used as part of my keynote "Public data ecosystems in and for smart cities: how to make open / Big / smart / geo data ecosystems value-adding for SDG-compliant Smart Living and Society 5.0" delivered at the 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) -> https://carmaconf2023.wordpress.com/keynote-speakers/. read more here -> https://anastasijanikiforova.com/2023/06/30/keynote-at-the-5th-international-conference-on-advanced-research-methods-and-analytics-carma-2023/
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Big Data Spain
The term 'Data Science' was first described in scientific literature about 15 years ago. It started to become a major trend in industry about 7 years ago.
O'Reilly Media surveys the industry extensively each year. In addition we get a good birds-eye view of industry trends through our conference programs and publications, working closely with some of the best practitioners in Data Science.
By now, the field has evolved far beyond its origins eclipsing an earlier generation of Business Intelligence and Data Warehousing approaches. Data Science is moving up, into the business verticals and government spheres of influence where it has true global impact.
This talk considers Data Science trends from the past three years in particular. What is emerging? Which parts are evolving? Which seem cluttered and poised for consolidation or other change?
Session presented at Big Data Spain 2015 Conference
15th Oct 2015
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by: http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/program/thu/slot-2.html
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Data-Ed Webinar: Demystifying Big Data DATAVERSITY
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Takeaways:
- The means by which Big Data techniques can complement existing data management practices
- The prototyping nature of practicing Big Data techniques
- The distinct ways in which utilizing Big Data can generate business value
- Bigger Data isn’t always Better Data
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Check out more of our Data-Ed webinars here: www.datablueprint.com/webinar-schedule
Moving Forward with Digital Disruption: A Right MindsetBohyun Kim
A keynote presented at the MentorNJ In-Person Networking Event 2018 organized by LibraryLinkNJ -The New Jersey Library Cooperative, held at Monroe Township, NJ. on October 5, 2018.
http://librarylinknj.org/MentorNJ/programs/networking-event-2018
Pendekatan untuk riset big data di bidang sosial dan politik:
1. Data governance dan privacy
2. Media Analysis
3. Social Network Analysis
4. Complex System Analysis
Objectives: 1. Gain an understanding of key trends in ICT innovation which are influencing/disrupting crisis informatics. 2. Be able to trace these trends through discussions later this semester, and understand their influence and potential. 3. Introduce visualization lab
Cambridge Analytica as a Prime Example of the Manipulation of Democratic Deci...Anna Vollmer
In 2018 the now defunct big data analytics and political consulting firm Cambridge Analytica – which had been involved in the Trump presidential as well as the Brexit campaign – rose to international prominence after it was revealed that they had harvested millions of Facebook users’ data without their consent to subsequently target voters with highly personalized ads. As more and more political parties across the globe are employing big data tools to reach and influence potential or undecided voters, it is crucial that citizens are made aware of the practices of mass data collection and online political microtargeting, and how these two phenomena can render them vulnerable to manipulation. By taking a closer look at the key figures behind the Cambridge Analytica scandal and the company’s strategies, this presentation aims to illustrate how the combined misuse of big data and big money could be threatening democracy. Lastly, it proposes ideas as to how democracy can be safeguarded in the Digital Age from the governmental to the individual level.
Artificial Intelligence and implications for research outputsDanny Kingsley
A talk for UKSG online seminar "Publication to press: Building trust in research communication" held on 27 June 2023.
Abstract:
General AI observations:
* AI probably won’t kill us, but there are risks to identity and reputation
* Regulation around AI is starting but the big corporations are trying to control the discourse
Observations about AI and research publishing
* AI can help with the research process – but it's not a replacement for critical thinking
* The current research publishing environment is full of problems both with and without ChatGPT
* AI is a challenge for the open movement & reproducibility and is likely to feed the paper mill tsunami
Posit: AI is currently the whipping boy for our research assessment system
Conclusion: We need to change the research assessment system
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Big Data Spain
The term 'Data Science' was first described in scientific literature about 15 years ago. It started to become a major trend in industry about 7 years ago.
O'Reilly Media surveys the industry extensively each year. In addition we get a good birds-eye view of industry trends through our conference programs and publications, working closely with some of the best practitioners in Data Science.
By now, the field has evolved far beyond its origins eclipsing an earlier generation of Business Intelligence and Data Warehousing approaches. Data Science is moving up, into the business verticals and government spheres of influence where it has true global impact.
This talk considers Data Science trends from the past three years in particular. What is emerging? Which parts are evolving? Which seem cluttered and poised for consolidation or other change?
Session presented at Big Data Spain 2015 Conference
15th Oct 2015
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by: http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/program/thu/slot-2.html
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Centerp...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Big Data Applications & Analytics Motivation: Big Data and the Cloud; Center...Geoffrey Fox
Motivating Introduction to MOOC on Big Data from an applications point of view https://bigdatacoursespring2014.appspot.com/course
Course says:
Geoffrey motivates the study of X-informatics by describing data science and clouds. He starts with striking examples of the data deluge with examples from research, business and the consumer. The growing number of jobs in data science is highlighted. He describes industry trend in both clouds and big data.
He introduces the cloud computing model developed at amazing speed by industry. The 4 paradigms of scientific research are described with growing importance of data oriented version. He covers 3 major X-informatics areas: Physics, e-Commerce and Web Search followed by a broad discussion of cloud applications. Parallel computing in general and particular features of MapReduce are described. He comments on a data science education and the benefits of using MOOC's.
Minne analytics presentation 2018 12 03 final compressedBonnie Holub
Monday was another great conference by MinneAnalytics! #MinneFRAMA was a great success with over 1,100 attendees at Science Museum of Minnesota. Alison Rempel Brown is a great host! A Teradata colleague told me that her post about my presentation "blew up" with hits and she got over 2K views, and 60+ likes. I'm proud to be a part of this great #datascience organization brining #machinelearning and #artificialintelligence #analytics to our #bigdata clients. If you want my slides, here they are.
Data-Ed Webinar: Demystifying Big Data DATAVERSITY
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Takeaways:
- The means by which Big Data techniques can complement existing data management practices
- The prototyping nature of practicing Big Data techniques
- The distinct ways in which utilizing Big Data can generate business value
- Bigger Data isn’t always Better Data
We are in the middle of a data flood and we need to figure out how to tame it without drowning. Most of what has been written about Big Data is focused on selling hardware and services. But what about a Big Data Strategy that guides hardware and software decisions? While virtually every major organization is faced with the challenge of figuring out the approach for and the requirements of this new development, jumping into the fray hastily and unprepared will only reproduce the same dismal IT project results as previously experienced. Join Dr. Peter Aiken as he will debunk a number of misconceptions about Big Data as your un-typical IT project. He will provide guidance on how to establish realistic Big Data management plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers without getting lost in the hype.
Check out more of our Data-Ed webinars here: www.datablueprint.com/webinar-schedule
Moving Forward with Digital Disruption: A Right MindsetBohyun Kim
A keynote presented at the MentorNJ In-Person Networking Event 2018 organized by LibraryLinkNJ -The New Jersey Library Cooperative, held at Monroe Township, NJ. on October 5, 2018.
http://librarylinknj.org/MentorNJ/programs/networking-event-2018
Pendekatan untuk riset big data di bidang sosial dan politik:
1. Data governance dan privacy
2. Media Analysis
3. Social Network Analysis
4. Complex System Analysis
Objectives: 1. Gain an understanding of key trends in ICT innovation which are influencing/disrupting crisis informatics. 2. Be able to trace these trends through discussions later this semester, and understand their influence and potential. 3. Introduce visualization lab
Cambridge Analytica as a Prime Example of the Manipulation of Democratic Deci...Anna Vollmer
In 2018 the now defunct big data analytics and political consulting firm Cambridge Analytica – which had been involved in the Trump presidential as well as the Brexit campaign – rose to international prominence after it was revealed that they had harvested millions of Facebook users’ data without their consent to subsequently target voters with highly personalized ads. As more and more political parties across the globe are employing big data tools to reach and influence potential or undecided voters, it is crucial that citizens are made aware of the practices of mass data collection and online political microtargeting, and how these two phenomena can render them vulnerable to manipulation. By taking a closer look at the key figures behind the Cambridge Analytica scandal and the company’s strategies, this presentation aims to illustrate how the combined misuse of big data and big money could be threatening democracy. Lastly, it proposes ideas as to how democracy can be safeguarded in the Digital Age from the governmental to the individual level.
Artificial Intelligence and implications for research outputsDanny Kingsley
A talk for UKSG online seminar "Publication to press: Building trust in research communication" held on 27 June 2023.
Abstract:
General AI observations:
* AI probably won’t kill us, but there are risks to identity and reputation
* Regulation around AI is starting but the big corporations are trying to control the discourse
Observations about AI and research publishing
* AI can help with the research process – but it's not a replacement for critical thinking
* The current research publishing environment is full of problems both with and without ChatGPT
* AI is a challenge for the open movement & reproducibility and is likely to feed the paper mill tsunami
Posit: AI is currently the whipping boy for our research assessment system
Conclusion: We need to change the research assessment system
Similar to Pushed towards Dysfunction: How Social Media API Restrictions Distort Research Outcomes (20)
Types of Polarisation and Their Operationalisation in Digital and Social Medi...Axel Bruns
Paper by Axel Bruns, Tariq Choucair, Katharina Esau, Sebastian Svegaard, and Samantha Vilkins, presented at the Association of Internet Researchers conference, Philadelphia, 18 Oct. 2023.
Determining the Drivers and Dynamics of Partisanship and Polarisation in Onli...Axel Bruns
Paper by Axel Bruns, Katharina Esau, Tariq Choucair, Sebastian Svegaard, and Samantha Vilkins, presented at the ECREA Political Communication conference in Berlin, 1 Sep. 2023.
Towards a New Empiricism: Polarisation across Four DimensionsAxel Bruns
Paper by Axel Bruns, Tariq Choucair, Katharina Esau, Sebastian Svegaard, and Samantha Vilkins, presented at the IAMCR 2023 conference, Lyon, 9-13 July 2023.
The Anatomy of Virality: How COVID-19 Conspiracy Theories Spread across Socia...Axel Bruns
Keynote by Axel Bruns, with Edward Hurcombe and Stephen Harrington, presented at the International Center for Journalists' Empowering the Truth Summit, 23 Feb. 2023.
A Platform Policy Implementation Audit of Actions against Russia’s State-Cont...Axel Bruns
Paper by Sofya Glazunova, Anna Ryzhova, Axel Bruns, Silvia Ximena Montaña-Niño, Arista Beseler, and Ehsan Dehghan, presented at the International Communication Association conference, Toronto, 29 May 2023.
The Filter in Our (?) Heads: Digital Media and PolarisationAxel Bruns
Invited presentation in a seminar series organised by the Centre for Deliberative Democracy & Global Governance at the University of Canberra, the QUT Digital Media Research Centre, and the News and Media Research Centre at the University of Canberra.
Gatewatching 5: Weaponising Newssharing: ‘Fake News’ and Other MalinformationAxel Bruns
Lecture 5 in the course From Gatekeeping to Gatewatching: News and Journalism in the Digital Age.
This lecture series addresses the continuing transformation of the production and consumption of journalism in the contemporary media environment. It provides a brief history of the impact of participatory online news production and engagement practices – from the first wave of citizen journalism to the social media platforms of today – on how news content is disseminated and experienced; examines reactive and proactive responses to these changes by news organisations and journalists; and explores the longer-term impact of these developments on the public sphere, touching on the power of social media platforms and their role in shaping their users’ information diets.
Readings are largely drawn from Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Bruns, 2018), with additional readings recommended for selected lectures.
Reading for this lecture:
Bruns, A., Harrington, S., & Hurcombe, E. (2021). Coronavirus Conspiracy Theories: Tracing Misinformation Trajectories from the Fringes to the Mainstream. In M. Lewis, E. Govender, & K. Holland (Eds.), Communicating COVID-19: Interdisciplinary Perspectives (pp. 229–249). Springer. https://doi.org/10.1007/978-3-030-79735-5_12
Gatewatching 10: New(s) Publics in the Public SphereAxel Bruns
Lecture 10 in the course From Gatekeeping to Gatewatching: News and Journalism in the Digital Age.
This lecture series addresses the continuing transformation of the production and consumption of journalism in the contemporary media environment. It provides a brief history of the impact of participatory online news production and engagement practices – from the first wave of citizen journalism to the social media platforms of today – on how news content is disseminated and experienced; examines reactive and proactive responses to these changes by news organisations and journalists; and explores the longer-term impact of these developments on the public sphere, touching on the power of social media platforms and their role in shaping their users’ information diets.
Readings are largely drawn from Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Bruns, 2018), with additional readings recommended for selected lectures.
Reading for this lecture:
Bruns, A. (2018). New(s) Publics in the Public Sphere. Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere. Ch. 8. Peter Lang.
Gatewatching 4: Random Acts of Gatewatching: Everyday Newssharing PracticesAxel Bruns
Lecture 4 in the course From Gatekeeping to Gatewatching: News and Journalism in the Digital Age.
This lecture series addresses the continuing transformation of the production and consumption of journalism in the contemporary media environment. It provides a brief history of the impact of participatory online news production and engagement practices – from the first wave of citizen journalism to the social media platforms of today – on how news content is disseminated and experienced; examines reactive and proactive responses to these changes by news organisations and journalists; and explores the longer-term impact of these developments on the public sphere, touching on the power of social media platforms and their role in shaping their users’ information diets.
Readings are largely drawn from Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Bruns, 2018), with additional readings recommended for selected lectures.
Reading for this lecture:
Bruns, A. (2018). Random Acts of Gatewatching: Everyday Newssharing Practices. Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere. Ch. 4. Peter Lang.
Gatewatching 11: Echo Chambers? Filter Bubbles? Reviewing the EvidenceAxel Bruns
Lecture 11 in the course From Gatekeeping to Gatewatching: News and Journalism in the Digital Age.
This lecture series addresses the continuing transformation of the production and consumption of journalism in the contemporary media environment. It provides a brief history of the impact of participatory online news production and engagement practices – from the first wave of citizen journalism to the social media platforms of today – on how news content is disseminated and experienced; examines reactive and proactive responses to these changes by news organisations and journalists; and explores the longer-term impact of these developments on the public sphere, touching on the power of social media platforms and their role in shaping their users’ information diets.
Readings are largely drawn from Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Bruns, 2018), with additional readings recommended for selected lectures.
Reading for this lecture:
Bruns, A. (2022). Echo Chambers? Filter Bubbles? The Misleading Metaphors That Obscure the Real Problem. In M. Pérez-Escolar & J. M. Noguera-Vivo (Eds.), Hate Speech and Polarization in Participatory Society (pp. 33–48). Routledge. https://doi.org/10.4324/9781003109891-4
Gatewatching 1: Introduction: What’s So Different about Journalism Today?Axel Bruns
Lecture 1 in the course From Gatekeeping to Gatewatching: News and Journalism in the Digital Age.
This lecture series addresses the continuing transformation of the production and consumption of journalism in the contemporary media environment. It provides a brief history of the impact of participatory online news production and engagement practices – from the first wave of citizen journalism to the social media platforms of today – on how news content is disseminated and experienced; examines reactive and proactive responses to these changes by news organisations and journalists; and explores the longer-term impact of these developments on the public sphere, touching on the power of social media platforms and their role in shaping their users’ information diets.
Readings are largely drawn from Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Bruns, 2018), with additional readings recommended for selected lectures.
Reading for this lecture:
Bruns, A. (2018). Introduction. Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere. Ch. 1. Peter Lang.
Lecture 8 in the course From Gatekeeping to Gatewatching: News and Journalism in the Digital Age.
This lecture series addresses the continuing transformation of the production and consumption of journalism in the contemporary media environment. It provides a brief history of the impact of participatory online news production and engagement practices – from the first wave of citizen journalism to the social media platforms of today – on how news content is disseminated and experienced; examines reactive and proactive responses to these changes by news organisations and journalists; and explores the longer-term impact of these developments on the public sphere, touching on the power of social media platforms and their role in shaping their users’ information diets.
Readings are largely drawn from Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere (Bruns, 2018), with additional readings recommended for selected lectures.
Reading for this lecture:
Bruns, A. (2018). Hybrid News Coverage: Liveblogs. Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere. Ch. 7. Peter Lang.
Your Path to YouTube Stardom Starts HereSocioCosmos
Skyrocket your YouTube presence with Sociocosmos' proven methods. Gain real engagement and build a loyal audience. Join us now.
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Multilingual SEO Services | Multilingual Keyword Research | Filosemadisonsmith478075
Multilingual SEO services are essential for businesses aiming to expand their global presence. They involve optimizing a website for search engines in multiple languages, enhancing visibility, and reaching diverse audiences. Filose offers comprehensive multilingual SEO services designed to help businesses optimize their websites for search engines in various languages, enhancing their global reach and market presence. These services ensure that your content is not only translated but also culturally and contextually adapted to resonate with local audiences.
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Surat Digital Marketing School is created to offer a complete course that is specifically designed as per the current industry trends. Years of experience has helped us identify and understand the graduate-employee skills gap in the industry. At our school, we keep up with the pace of the industry and impart a holistic education that encompasses all the latest concepts of the Digital world so that our graduates can effortlessly integrate into the assigned roles.
This is the place where you become a Digital Marketing Expert.
Improving Workplace Safety Performance in Malaysian SMEs: The Role of Safety ...AJHSSR Journal
ABSTRACT: In the Malaysian context, small and medium enterprises (SMEs) experience a significant
burden of workplace accidents. A consensus among scholars attributes a substantial portion of these incidents to
human factors, particularly unsafe behaviors. This study, conducted in Malaysia's northern region, specifically
targeted Safety and Health/Human Resource professionals within the manufacturing sector of SMEs. We
gathered a robust dataset comprising 107 responses through a meticulously designed self-administered
questionnaire. Employing advanced partial least squares-structural equation modeling (PLS-SEM) techniques
with SmartPLS 3.2.9, we rigorously analyzed the data to scrutinize the intricate relationship between safety
behavior and safety performance. The research findings unequivocally underscore the palpable and
consequential impact of safety behavior variables, namely safety compliance and safety participation, on
improving safety performance indicators such as accidents, injuries, and property damages. These results
strongly validate research hypotheses. Consequently, this study highlights the pivotal significance of cultivating
safety behavior among employees, particularly in resource-constrained SME settings, as an essential step toward
enhancing workplace safety performance.
KEYWORDS :Safety compliance, safety participation, safety performance, SME
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Enhance your social media strategy with the best digital marketing agency in Kolkata. This PPT covers 7 essential tips for effective social media marketing, offering practical advice and actionable insights to help you boost engagement, reach your target audience, and grow your online presence.
“To be integrated is to feel secure, to feel connected.” The views and experi...AJHSSR Journal
ABSTRACT: Although a significant amount of literature exists on Morocco's migration policies and their
successes and failures since their implementation in 2014, there is limited research on the integration of subSaharan African children into schools. This paperis part of a Ph.D. research project that aims to fill this gap. It
reports the main findings of a study conducted with migrant children enrolled in two public schools in Rabat,
Morocco, exploring how integration is defined by the children themselves and identifying the obstacles that they
have encountered thus far. The following paper uses an inductive approach and primarily focuses on the
relationships of children with their teachers and peers as a key aspect of integration for students with a migration
background. The study has led to several crucial findings. It emphasizes the significance of speaking Colloquial
Moroccan Arabic (Darija) and being part of a community for effective integration. Moreover, it reveals that the
use of Modern Standard Arabic as the language of instruction in schools is a source of frustration for students,
indicating the need for language policy reform. The study underlines the importanceof considering the
children‟s agency when being integrated into mainstream public schools.
.
KEYWORDS: migration, education, integration, sub-Saharan African children, public school
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Buy Pinterest Followers, Reactions & Repins Go Viral on Pinterest with Socio...SocioCosmos
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Buy Pinterest Followers, Reactions & Repins Go Viral on Pinterest with Socio...
Pushed towards Dysfunction: How Social Media API Restrictions Distort Research Outcomes
1. @qutdmrc
iCS Symposium, Copenhagen, 27-28 Oct. 2018
Axel Bruns | @snurb_dot_info
Pushed towards Dysfunction
How Social Media API Restrictions Distort Research Outcomes
5. C-SPAN: “Cambridge Analytica and Data Privacy, Alexander Nix Testimony”
https://www.c-span.org/video/?446535-1/cambridge-analytica-ceo-alexander-nix-testifies-data-misuse
6. Sydney Morning Herald: “Facebook, Twitter, Google grilled over elections ads at Russia inquiry”
http://www.smh.com.au/world/facebook-twitter-google-grilled-over-elections-ads-at-russia-inquiry-20171031-gzcbw7.html
7. The Irish Sun: “What did Mark Zuckerberg tell Congress and did the Facebook CEO address the Cambridge Analytica data leak in his testimony?”
https://www.thesun.ie/news/2426061/what-did-mark-zuckerberg-tell-congress-and-did-the-facebook-ceo-address-the-cambridge-analytica-data-leak-in-his-testimony/
8. @qutdmrc
API, Disappearing
● Facebook API, v2.6:
“How often has this (fake?) news URL been shared?”
(https://developers.facebook.com/tools/explorer/)
● Facebook API, v2.9:
“What does Facebook think this URL is? What internal ID does it have?”
● Facebook API, v3.0:
“¯_(ツ)_/¯”
14. @qutdmrc
How APIs Shape Our Research
● “Easy Data, Hard Data” (Burgess & Bruns 2015):
● Easy data:
● Individual pages (Facebook)
● Hashtags and keywords (Twitter)
● Hard data:
● Multiple pages and their connections (Facebook)
● Profile activity and information flows (Facebook)
● Ordinary, unremarkable posts (Twitter)
● Everyday @mention and follower networks (Twitter)
● Complex, composite data across multiple platform affordances
API changes reduce our access to hard data, offering only easy data
16. @qutdmrc
Pushed towards Dysfunction
● Pushed towards public interactions:
● Overrepresentation of Twitter in the literature
● Focus on highly visible hashtags and pages, not personal interactions
● Isolated discursive islands in an ocean of social media activity
● Pushed towards extreme, self-selecting cases:
● Hyperpartisan hashtags, fringe community pages
● Patterns of dysfunction that misrepresent the platforms and their uses
● Pushed towards skewed, ill-considered emphases:
● Viral contagion – only 18% of all Australian tweets are hashtagged
● Echo chambers – social media are engines of context collapse
● Filter bubbles – extremists are especially heavy users of mainstream news
● Fake news – mostly consumed by a small percentage of hyperpartisans
19. @qutdmrc
The “King-Persily Paper”
● A new model:
● “the new paradigm for industry-academic partnerships in the King-Persily
paper” (Social Science One 2018)
● Weird notion of social science:
● “Social science insights are normally about population averages and broad
patterns, and for which facts about any one individual are unnecessary and not
of interest. Social scientists are usually interested in patterns about everyone,
not anyone in particular.” (King and Persily 2018: 8)
● Company interests outweigh scientific freedom:
● “The optimal way forward … is to find research questions that are of intellectual
interest to the scientific community and either provide valuable knowledge to
inform product, programmatic, and policy decisions, or are orthogonal to
company interests.” (King and Persily 2018: 12)
20. @qutdmrc
Social? Science? One?
● What is Social Science One?
● U.S.-centric
● Nebulous relationship with Facebook
● Limited involvement from media, communication, and related fields
● Intransparent application process controlled by self-appointed assessors:
● “the co-chairs at Social Science One … make final substantive decisions
about which proposals to support” (Social Science One 2018)
● Strange understanding of the scientific process:
● “Researchers are only permitted to perform the analyses, and estimate the
quantities, that are proposed and approved; new types of analyses and
quantities to estimate require additional applications.” (Social Science One
2018)
21. @qutdmrc
6 of 1300 submissions selected
Not Just Facebook
2 of 230 (?) submissions selected
(https://blog.twitter.com/engineering/en_us/a/2014/twitter-datagrants-selections.html
https://blog.twitter.com/official/en_us/topics/company/2018/twitter-health-metrics-
proposal-submission.html)
29. @qutdmrc
Four Paths
1. Give up. Walk away. Research something else.
● Leaves the platforms unscrutinised
● Leaves their users to fend for themselves
● Provides no input to regulators when they need it most
● The haters, abusers, trolls, bots, Russian hackers won’t walk away
30. @qutdmrc
Four Paths
2. Keep pushing for different data access regimes.
● We’ve tried, with limited success – what leverage do we have?
● How do we address legitimate concerns about user privacy?
● What alternative models of data access can we propose?
● How might platforms be compelled to implement them?
● What role can national legislators play?
● How do we get them on our side?
31. @qutdmrc
Four Paths
3. Bite the bullet and pay for commercial data access.
● Largely unaffordable for individual researchers and projects
● Difficult to find institutional support for ongoing access
● Commercial data access remains shaped around ‘easy data’
● API changes also undermining commercial data sector
● Likely requires consortia-based access models
● Scholarly data sharing remains a grey area
32. @qutdmrc
Four Paths
4. Explore scraping and other unsanctioned data access methods.
● Probably explicitly against platforms’ Terms of Service
● Which may not be legally sound and binding, however
● Could be sanctioned by ‘freedom of research’ legislation
● May require strong institutional support
● Could still be frustrated by platform countermeasures
● May not generate good-quality data
33. @qutdmrc
Four Paths, One Destination
● All of the above:
● Social media platforms are too important to be left unscrutinised
● Critical, independent, public-interest research is crucial
● Shaping of research limits by platform directives is unacceptable
● Terms of Service cannot trump public interest
● But also:
● Critical self-assessment of our uses of data
● Diligent adherence to established ethical standards
● Careful management of data and sharing practices
● We must demonstrate that we can be trusted with the data
We must press home our message whenever we get the chance
35. @qutdmrc
Cato the Elder, ca. 157 BCE
Ceterum censeo Carthaginem esse delendam.
Furthermore, I propose that Carthage is to be destroyed.
36. @qutdmrc
Social Media Researchers, ca. 2018 CE
Furthermore, we demand that social media platforms
provide data access to critical, independent, public-interest research.
37. @qutdmrc
iCS Symposium, Copenhagen, 27-28 Oct. 2018
Axel Bruns | @snurb_dot_info
@snurb_dot_info – http://snurb.info/
@socialmediaQUT – http://socialmedia.qut.edu.au/
@qutdmrc – https://www.qut.edu.au/research/dmrc
This research is supported by the ARC Future Fellowship project
“Understanding Intermedia Information Flows in the Australian
Online Public Sphere”, and the ARC LIEF project “TrISMA:
Tracking Infrastructure for Social Media Analysis.”