Presentation as part of a Year 2 undergraduate module on Online Journalism. Part of the degree in Journalism at Birmingham City University's School of Media.
This document summarizes a lecture on community management and user-generated content. It discusses defining objectives for an online community, understanding what motivates users to participate, and providing opportunities for feedback and collaboration. It also covers strategies for scaling a community through dividing tasks among teams and using appropriate tools. Legal issues like copyright and terms of service are addressed. Overall, the document provides guidance on developing an effective strategy to build and engage an online community.
This document discusses business model generation for machine-to-machine (M2M) applications. It emphasizes starting with customer insights to define the value proposition and highlights key success factors like perceived value, willingness to pay, partnerships, and cost management. Business models must balance value and price while allowing for evolution. The customer experience is more important than technical aspects, and individual needs must be addressed for mass market appeal.
This document discusses the transformation of society from the Industrial Revolution to today's digital and social revolution. It highlights how organizations are shifting from producer-focused models to collaborative models where producers, governments, and consumers all interact. New sharing platforms are enabling self-organizing networks and collaborative consumption models. The document also describes a business called Seats2Meet that enables serendipitous meetings in shared workspaces using social media and location-based technologies.
This document discusses the challenges of information overload and matching consumers with advertisers. It introduces a price comparison website that aims to help consumers easily compare rates from different companies. The website's business model focuses on consumers while generating 80% of revenue from advertisers. It is a new company with ambitions to become the clear leader in the financial leads market in Belgium.
This document discusses various topics relating to futurology and future proofing in journalism. It begins by asking questions about differences in terminology between the US and UK and the origins of industries like cinema and radio. It then addresses topics like the role of social media and real-time communication, intelligent objects, big data, integration and changes to business models. It raises issues around privacy, regulation and the changing role of users and journalists. In general, it explores challenges and opportunities that new technologies may bring to the field of journalism in the future.
Presentation as part of a Year 2 undergraduate module on Online Journalism. Part of the degree in Journalism at Birmingham City University's School of Media.
This document summarizes a lecture on community management and user-generated content. It discusses defining objectives for an online community, understanding what motivates users to participate, and providing opportunities for feedback and collaboration. It also covers strategies for scaling a community through dividing tasks among teams and using appropriate tools. Legal issues like copyright and terms of service are addressed. Overall, the document provides guidance on developing an effective strategy to build and engage an online community.
This document discusses business model generation for machine-to-machine (M2M) applications. It emphasizes starting with customer insights to define the value proposition and highlights key success factors like perceived value, willingness to pay, partnerships, and cost management. Business models must balance value and price while allowing for evolution. The customer experience is more important than technical aspects, and individual needs must be addressed for mass market appeal.
This document discusses the transformation of society from the Industrial Revolution to today's digital and social revolution. It highlights how organizations are shifting from producer-focused models to collaborative models where producers, governments, and consumers all interact. New sharing platforms are enabling self-organizing networks and collaborative consumption models. The document also describes a business called Seats2Meet that enables serendipitous meetings in shared workspaces using social media and location-based technologies.
This document discusses the challenges of information overload and matching consumers with advertisers. It introduces a price comparison website that aims to help consumers easily compare rates from different companies. The website's business model focuses on consumers while generating 80% of revenue from advertisers. It is a new company with ambitions to become the clear leader in the financial leads market in Belgium.
This document discusses various topics relating to futurology and future proofing in journalism. It begins by asking questions about differences in terminology between the US and UK and the origins of industries like cinema and radio. It then addresses topics like the role of social media and real-time communication, intelligent objects, big data, integration and changes to business models. It raises issues around privacy, regulation and the changing role of users and journalists. In general, it explores challenges and opportunities that new technologies may bring to the field of journalism in the future.
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.
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.
أهمية تعليم البرمجة للأطفال في العصر الرقمي.pdfelmadrasah8
في العصر الرقمي الحالي، أصبحت البرمجة مهارة أساسية تتجاوز كونها مجرد أداة تقنية، بل تعد مفتاحًا لفهم العالم المتصل بالإنترنت والتفاعل معه. تعليم البرمجة للأطفال ليس مجرد تعلم لغة البرمجة، بل هو تطوير لمجموعة واسعة من المهارات الأساسية التي يمكن أن تساعدهم في المستقبل.
تعزيز التفكير المنطقي وحل المشكلات
البرمجة تتطلب التفكير المنطقي وحل المشكلات بطرق منهجية. عند تعلم البرمجة، يتعلم الأطفال كيفية تحليل المشكلات وتقسيمها إلى أجزاء أصغر يمكن إدارتها. هذه المهارات ليست مفيدة فقط في مجال التكنولوجيا، بل تمتد إلى مختلف جوانب الحياة الأكاديمية والمهنية.
تحفيز الإبداع والابتكار
من خلال البرمجة، يمكن للأطفال تحويل أفكارهم إلى واقع ملموس. سواء كان ذلك بإنشاء لعبة، أو تطوير تطبيق، أو تصميم موقع ويب، يتيح لهم البرمجة التعبير عن إبداعهم بشكل فريد. هذا يحفز الأطفال على التفكير خارج الصندوق وتطوير حلول مبتكرة للتحديات التي يواجهونها.
توفير فرص مستقبلية
مع تزايد الاعتماد على التكنولوجيا في جميع القطاعات، ستكون مهارات البرمجة من بين الأكثر طلبًا في سوق العمل المستقبلي. تعلم البرمجة من سن مبكرة يمنح الأطفال ميزة تنافسية كبيرة في سوق العمل ويزيد من فرصهم في الحصول على وظائف متميزة في المستقبل.
تنمية مهارات العمل الجماعي والتواصل
تعلم البرمجة غالبًا ما يتضمن العمل في فرق ومشاركة الأفكار والمشاريع مع الآخرين. هذا يساهم في تنمية مهارات العمل الجماعي والتواصل الفعّال لدى الأطفال. كما يساعدهم على تعلم كيفية التعاون والتفاعل مع الآخرين لتحقيق أهداف مشتركة.
فهم أفضل للتكنولوجيا
تعلم البرمجة يساعد الأطفال على فهم كيفية عمل التكنولوجيا من حولهم. بدلاً من أن يكونوا مجرد مستخدمين للتكنولوجيا، يصبحون قادرين على تحليلها وفهم الأساسيات التي تقوم عليها. هذا الفهم العميق يمنحهم القدرة على التفاعل مع التكنولوجيا بطرق أكثر فعالية وكفاءة.
تعليم البرمجة للأطفال في العصر الرقمي ليس رفاهية، بل ضرورة لتأهيلهم لمستقبل مشرق. من خلال تطوير مهارات التفكير المنطقي، الإبداع، والتواصل، يتم إعداد الأطفال ليكونوا مبتكرين وقادة في العالم الرقمي المتطور. البرمجة تفتح لهم أبوابًا واسعة من الفرص والتحديات التي يمكنهم تجاوزها بمهاراتهم ومعرفتهم المتقدمة.