How you can use wikis, blogs, social networks and other online tools to improve your research, with reference to three studies by the author. Presentation originally made to Association of Journalism Educators.
Reseach in the Digital Age, 19th Century Periodicals Research Day (8 November...James Baker
Reseach in the Digital Age, 19th Century Periodicals Research Day (8 November 2013, Liverpool John Moores)
Script: https://docs.google.com/document/d/1qieNc1E39xqAc2JPLtx_VETUOayYXsLX12WbMs4EQcE/edit?usp=sharing
My notes from the day: https://gist.github.com/drjwbaker/7373223
This document provides an overview of how to effectively conduct research on the internet. It discusses different types of search engines such as regular search engines, metasearch engines, and specialized search engines. It also covers how to perform advanced searches using Boolean operators and search syntax. Finally, it explains the importance of properly citing internet sources and provides the correct format for citing sources in a bibliography. The overall goal is to teach students how to efficiently find reliable information online and give proper attribution to sources.
At the School Library Journal
Leadership Summit 2011, Pew Internet Director Lee Rainie looked at the “state of reading” in the digital age by going through Pew Internet data about how teens use the internet, smartphones, and social networking sites. He argued that reading is now 1) raw material for further creation; 2) real-time in the mobile age; 3) a “social contact sport” as teens share reading and other media and learn from them.
The document discusses research and writing in the digital age. It notes that while the internet makes research easier through greater access to information, it also poses challenges like information overload and requiring more sophisticated research skills to evaluate sources. Students most commonly use search engines like Google and Wikipedia for research, along with peers and social media, though teachers believe traditional sources remain important. Overall, the document examines how digital technologies are changing research behaviors but also presents opportunities to teach vital digital literacy skills.
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
This presentation teaches effective internet research skills. It discusses different types of search engines such as regular engines like Google and Yahoo compared to metasearch engines that search multiple engines. It recommends advanced searches to narrow results and Boolean operators like AND and OR. Finally, it stresses the importance of properly citing internet sources in a bibliography with the author, title, URL, copyright date and date accessed.
Game on qualitative researchers: Using gamification to increase partipant eng...InSites Consulting
We believe gamification can be applied in 3 different phases of the research process; (1) during data collection, (2) during analysis and interpretation and (3) during reporting and presentation of the results. In this paper, we present an approach to gamification in online qualitative research. There is already ample research with respect to using gamification in quantitative research; however, a comprehensive approach for online qualitative research is lacking so far.
In this paper we will focus on using gamification during data collection and will briefly demonstrate how we apply gamification in the last 2 phases. At InSites Consulting, we identified 4 levels in an online community at which gamification can be applied to increase data quality, participant engagement and impact on the client side. From a question level to a community level, gamification helps, not only to increase participant engagement, but also to increase data quality.
Reseach in the Digital Age, 19th Century Periodicals Research Day (8 November...James Baker
Reseach in the Digital Age, 19th Century Periodicals Research Day (8 November 2013, Liverpool John Moores)
Script: https://docs.google.com/document/d/1qieNc1E39xqAc2JPLtx_VETUOayYXsLX12WbMs4EQcE/edit?usp=sharing
My notes from the day: https://gist.github.com/drjwbaker/7373223
This document provides an overview of how to effectively conduct research on the internet. It discusses different types of search engines such as regular search engines, metasearch engines, and specialized search engines. It also covers how to perform advanced searches using Boolean operators and search syntax. Finally, it explains the importance of properly citing internet sources and provides the correct format for citing sources in a bibliography. The overall goal is to teach students how to efficiently find reliable information online and give proper attribution to sources.
At the School Library Journal
Leadership Summit 2011, Pew Internet Director Lee Rainie looked at the “state of reading” in the digital age by going through Pew Internet data about how teens use the internet, smartphones, and social networking sites. He argued that reading is now 1) raw material for further creation; 2) real-time in the mobile age; 3) a “social contact sport” as teens share reading and other media and learn from them.
The document discusses research and writing in the digital age. It notes that while the internet makes research easier through greater access to information, it also poses challenges like information overload and requiring more sophisticated research skills to evaluate sources. Students most commonly use search engines like Google and Wikipedia for research, along with peers and social media, though teachers believe traditional sources remain important. Overall, the document examines how digital technologies are changing research behaviors but also presents opportunities to teach vital digital literacy skills.
Doing Social and Political Research in a Digital Age: An Introduction to Digi...Liliana Bounegru
Lecture given at the National Center of Competence in Research: Challenges to Democracy in the 21st Century, 5 November 2015, Zürich University, Zürich, Switzerland
This presentation teaches effective internet research skills. It discusses different types of search engines such as regular engines like Google and Yahoo compared to metasearch engines that search multiple engines. It recommends advanced searches to narrow results and Boolean operators like AND and OR. Finally, it stresses the importance of properly citing internet sources in a bibliography with the author, title, URL, copyright date and date accessed.
Game on qualitative researchers: Using gamification to increase partipant eng...InSites Consulting
We believe gamification can be applied in 3 different phases of the research process; (1) during data collection, (2) during analysis and interpretation and (3) during reporting and presentation of the results. In this paper, we present an approach to gamification in online qualitative research. There is already ample research with respect to using gamification in quantitative research; however, a comprehensive approach for online qualitative research is lacking so far.
In this paper we will focus on using gamification during data collection and will briefly demonstrate how we apply gamification in the last 2 phases. At InSites Consulting, we identified 4 levels in an online community at which gamification can be applied to increase data quality, participant engagement and impact on the client side. From a question level to a community level, gamification helps, not only to increase participant engagement, but also to increase data quality.
Telling factual stories in virtual reality, 360 degree video and augmented re...Paul Bradshaw
Slides from a lecture on the MA in Data Journalism and the MA in Media Production at Birmingham City University, explaining what types of stories and projects suit immersive technologies such as VR and AR, considerations when using them, and techniques employed in the field.
Generative AI tools like ChatGPT and Google Bard are already changing journalism workflows - in this talk for the BBC Local Democracy Reporters conference 2023, Paul Bradshaw walks through a number of ways those tools can help local journalists - and how to avoid the pitfalls and weaknesses of AI including bias and hallucinations.
How to generate a 100+ page website using parameterisation in RPaul Bradshaw
Parameterisation can be used to build a website with a page for every region/category/row in your data. This talk at DataHarvest/EIJC 2023 walks through how to do that, with example code and tips.
ChatGPT (and generative AI) in journalismPaul Bradshaw
A brief roundup of tips and examples of using ChatGPT and generative AI for journalism (especially data journalism) - presentation from DataHarvest 2023
A brief history of data in journalism, how data journalism differs from forms such as CAR, and what qualities and skills modern data journalism roles involve.
Talk for the Comet Research Centre at Tampere University, Helsinki, Finland, March 2023.
Visual journalism: gifs, emoji, memes and other techniquesPaul Bradshaw
This document discusses new visual languages for journalism, including GIFs, emojis, and memes. It provides examples of how each can be used, such as showing movement with GIFs, conveying emotion with emojis, and telling familiar stories with memes. The document also discusses using old techniques like photos, diagrams and charts in new contexts like social media. The overall message is that journalists should learn these new visual languages to remain relevant as visual storytelling becomes more important.
Using narrative structures in shortform and longform journalismPaul Bradshaw
How an understanding of narrative structures can help you write for different platforms and formats, from shortform (Twitter) to news articles and longform features. The second part of a presentation to the Civic Journalism Lab at Newcastle University - you can find the first part at https://www.slideshare.net/onlinejournalist/narrative-and-multiplatform-journalism-part-1
Narrative and multiplatform journalism (part 1)Paul Bradshaw
How an understanding of narrative concepts can help you get to grips with new (and old) platforms and genres. Presentation to the Civic Journalism Lab at Newcastle University - you can find the second part at https://www.slideshare.net/onlinejournalist/using-narrative-structures-in-shortform-and-longform-journalism
The document provides guidance for a data journalism teaching session with three key points:
1. Understand your audience - know their interests and problems in order to provide relevant examples.
2. Solve their problems - identify how data journalism can help with story ideas, leads, reporting, publishing and investigations.
3. Provide techniques - teach computational thinking, trial and error approach, managing expectations, and focusing on relevant skills. The goal is giving students support for solving future problems rather than just tools.
This document discusses ways to tell data stories across different media. It suggests that data stories are prevalent across news sites and provides examples. It recommends making data stories audio by putting a human element to explain why people should care. Stories work well explained through audio on platforms like podcasts. The document also advises making data stories mobile and social friendly by using visuals and gifs that can be shared on platforms like Twitter.
The document discusses 7 types of stories that are commonly found when analyzing data: trends over time, comparisons, outliers, averages, reactions, individual data points, and explanations/fact checks. It provides examples of each type using UK rail usage data and the gender pay gap. The author encourages trying to generate story ideas for different datasets using these categories and considering issues like privacy, accuracy, and newsworthiness when developing stories from data.
Uncertain times, stories of uncertaintyPaul Bradshaw
The document shares several links related to uncertainty during the COVID-19 pandemic, including disease modeling of reopening plans, presidential election forecasts, and ways journalists need to address uncertainty. It discusses uncertain times and stories of uncertainty during this period. The document ends by inviting questions from the reader.
Ergodic education (online teaching and interactivity)Paul Bradshaw
The document discusses interactivity in digital storytelling and journalism. It presents different models of interactivity that range from author-driven to reader-driven narratives. It also lists different genres of interactivity like ergodic stories, games, bots, polls and interactive maps. Interactivity challenges traditional narratives by giving users more control over the story and allowing them to help tell it. Both the generic expectations and cultural dimensions of different forms of interactivity need to be considered.
Storytelling in the database era: uncertainty and science reportingPaul Bradshaw
Presentation at the Humboldt Foundation's International Journalists' Programmes 2020 about the changes within journalism around using interactivity for telling stories, and communicating uncertainty. The slides also include recommendations around avoiding mistakes.
Cognitive bias: a quick guide for journalistsPaul Bradshaw
This document provides a guide for journalists on cognitive biases. It discusses how journalists must work with large amounts of information quickly and make meaning, which can lead to biases. The guide outlines how preconceived notions and prior beliefs can influence memory and judgment. It encourages journalists to be aware of cognitive biases, catch human errors, and use editors to reduce falling into their own "bias blind spot."
Data journalism involves sorting, filtering, and calculating data to find meaningful insights and stories. The key techniques are sorting data to find outliers, filtering it to focus on specific areas or industries, and using pivot tables to compare categories, areas, and time periods. While data analysis is important, the most valuable tool is the telephone for talking to experts and people affected to understand the context around the data and generate story ideas.
Data journalism: what it is, how to use data for storiesPaul Bradshaw
This document provides tips and strategies for data-driven journalism. It discusses identifying story leads from data, gathering information to turn leads into stories for a specific audience. It lists types of reactive and proactive stories that can be uncovered through data analysis. Examples include trends, policy issues, geographic differences, and debunking claims. The document also shares links to example news stories and resources for learning data journalism skills.
10 ways AI can be used for investigationsPaul Bradshaw
The document discusses various ways that artificial intelligence can be used to assist with journalistic investigations and reporting. It provides examples of AI being used to find patterns in large datasets, analyze text and images, generate automated summaries, and more. However, it also notes challenges like ensuring accuracy of AI systems and the need for quality control of algorithmic outputs.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Telling factual stories in virtual reality, 360 degree video and augmented re...Paul Bradshaw
Slides from a lecture on the MA in Data Journalism and the MA in Media Production at Birmingham City University, explaining what types of stories and projects suit immersive technologies such as VR and AR, considerations when using them, and techniques employed in the field.
Generative AI tools like ChatGPT and Google Bard are already changing journalism workflows - in this talk for the BBC Local Democracy Reporters conference 2023, Paul Bradshaw walks through a number of ways those tools can help local journalists - and how to avoid the pitfalls and weaknesses of AI including bias and hallucinations.
How to generate a 100+ page website using parameterisation in RPaul Bradshaw
Parameterisation can be used to build a website with a page for every region/category/row in your data. This talk at DataHarvest/EIJC 2023 walks through how to do that, with example code and tips.
ChatGPT (and generative AI) in journalismPaul Bradshaw
A brief roundup of tips and examples of using ChatGPT and generative AI for journalism (especially data journalism) - presentation from DataHarvest 2023
A brief history of data in journalism, how data journalism differs from forms such as CAR, and what qualities and skills modern data journalism roles involve.
Talk for the Comet Research Centre at Tampere University, Helsinki, Finland, March 2023.
Visual journalism: gifs, emoji, memes and other techniquesPaul Bradshaw
This document discusses new visual languages for journalism, including GIFs, emojis, and memes. It provides examples of how each can be used, such as showing movement with GIFs, conveying emotion with emojis, and telling familiar stories with memes. The document also discusses using old techniques like photos, diagrams and charts in new contexts like social media. The overall message is that journalists should learn these new visual languages to remain relevant as visual storytelling becomes more important.
Using narrative structures in shortform and longform journalismPaul Bradshaw
How an understanding of narrative structures can help you write for different platforms and formats, from shortform (Twitter) to news articles and longform features. The second part of a presentation to the Civic Journalism Lab at Newcastle University - you can find the first part at https://www.slideshare.net/onlinejournalist/narrative-and-multiplatform-journalism-part-1
Narrative and multiplatform journalism (part 1)Paul Bradshaw
How an understanding of narrative concepts can help you get to grips with new (and old) platforms and genres. Presentation to the Civic Journalism Lab at Newcastle University - you can find the second part at https://www.slideshare.net/onlinejournalist/using-narrative-structures-in-shortform-and-longform-journalism
The document provides guidance for a data journalism teaching session with three key points:
1. Understand your audience - know their interests and problems in order to provide relevant examples.
2. Solve their problems - identify how data journalism can help with story ideas, leads, reporting, publishing and investigations.
3. Provide techniques - teach computational thinking, trial and error approach, managing expectations, and focusing on relevant skills. The goal is giving students support for solving future problems rather than just tools.
This document discusses ways to tell data stories across different media. It suggests that data stories are prevalent across news sites and provides examples. It recommends making data stories audio by putting a human element to explain why people should care. Stories work well explained through audio on platforms like podcasts. The document also advises making data stories mobile and social friendly by using visuals and gifs that can be shared on platforms like Twitter.
The document discusses 7 types of stories that are commonly found when analyzing data: trends over time, comparisons, outliers, averages, reactions, individual data points, and explanations/fact checks. It provides examples of each type using UK rail usage data and the gender pay gap. The author encourages trying to generate story ideas for different datasets using these categories and considering issues like privacy, accuracy, and newsworthiness when developing stories from data.
Uncertain times, stories of uncertaintyPaul Bradshaw
The document shares several links related to uncertainty during the COVID-19 pandemic, including disease modeling of reopening plans, presidential election forecasts, and ways journalists need to address uncertainty. It discusses uncertain times and stories of uncertainty during this period. The document ends by inviting questions from the reader.
Ergodic education (online teaching and interactivity)Paul Bradshaw
The document discusses interactivity in digital storytelling and journalism. It presents different models of interactivity that range from author-driven to reader-driven narratives. It also lists different genres of interactivity like ergodic stories, games, bots, polls and interactive maps. Interactivity challenges traditional narratives by giving users more control over the story and allowing them to help tell it. Both the generic expectations and cultural dimensions of different forms of interactivity need to be considered.
Storytelling in the database era: uncertainty and science reportingPaul Bradshaw
Presentation at the Humboldt Foundation's International Journalists' Programmes 2020 about the changes within journalism around using interactivity for telling stories, and communicating uncertainty. The slides also include recommendations around avoiding mistakes.
Cognitive bias: a quick guide for journalistsPaul Bradshaw
This document provides a guide for journalists on cognitive biases. It discusses how journalists must work with large amounts of information quickly and make meaning, which can lead to biases. The guide outlines how preconceived notions and prior beliefs can influence memory and judgment. It encourages journalists to be aware of cognitive biases, catch human errors, and use editors to reduce falling into their own "bias blind spot."
Data journalism involves sorting, filtering, and calculating data to find meaningful insights and stories. The key techniques are sorting data to find outliers, filtering it to focus on specific areas or industries, and using pivot tables to compare categories, areas, and time periods. While data analysis is important, the most valuable tool is the telephone for talking to experts and people affected to understand the context around the data and generate story ideas.
Data journalism: what it is, how to use data for storiesPaul Bradshaw
This document provides tips and strategies for data-driven journalism. It discusses identifying story leads from data, gathering information to turn leads into stories for a specific audience. It lists types of reactive and proactive stories that can be uncovered through data analysis. Examples include trends, policy issues, geographic differences, and debunking claims. The document also shares links to example news stories and resources for learning data journalism skills.
10 ways AI can be used for investigationsPaul Bradshaw
The document discusses various ways that artificial intelligence can be used to assist with journalistic investigations and reporting. It provides examples of AI being used to find patterns in large datasets, analyze text and images, generate automated summaries, and more. However, it also notes challenges like ensuring accuracy of AI systems and the need for quality control of algorithmic outputs.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Pengantar Penggunaan Flutter - Dart programming language1.pptx
New approaches to research in a digital age
1. Paul Bradshaw Senior Lecturer, Online Journalism, Magazines and New Media, School of Media, Birmingham City University, UK (mediacourses.com) Blogger, Online Journalism Blog New approaches to research in a digital age
2.
3.
4.
5.
6.
7. Paul Bradshaw Senior Lecturer, Online Journalism, Magazines and New Media, School of Media, Birmingham City University, UK (mediacourses.com) Blogger, Online Journalism Blog [email_address]