14 Webinars This Week about AI, Journalism & Media

Tue, Jan 21 - How to Build a Podcast Media Empire for You and Your Business!

What: In this webinar, you'll learn how to create, grow, and monetize a podcast that boosts your brand, expands your reach, and positions you as an industry leader.  

Who: Jeffrey Hayzlett, Chairman & Founder, C-Suite Network

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Tue, Jan 21 - Influencers: How Can They Help Advance Media Literacy?

What: Learn about how social media influencers have been recruited to address important issues in media literacy related to health and safety. In Croatia, social media influencers have collaborated with media literacy experts to combat online harassment. In this program, we'll discuss strategies to develop partnerships with popular online influencers that could be leveraged to combat dis/mis/malinformation.

Who: Igor Kanižaj, PhD is Full Professor at Catholic University of Croatia, Department for Communication Science; Marshall S. Rich is a pioneer in the emerging and unique field of Forensic Cyberpsychology; Scott H. Vlachos is the Executive Director of the Council for Emerging National Security Affairs.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Media Education Lab

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Tue, Jan 21 - AI-Powered Nonprofits: 2025 Report on AI Adoption Rates, Use Cases, and Outcomes

What: Gain exclusive insights from our recent survey of over 1,000 nonprofits exploring how AI is reshaping the sector. This webinar will unpack the latest findings on how organizations like yours leverage AI to drive efficiency, enhance engagement, and achieve measurable outcomes. From exploring real-world use cases to understanding adoption trends and overcoming challenges, this session will provide actionable insights to help your nonprofit harness the power of AI for greater impact. Whether considering AI for the first time or looking to optimize your current solutions, join us to learn how to position your organization for success in 2025 and beyond.

Who: Kyle Barkins & Joe DiGiovanni, Tapp Network co-founders.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: TechSoup

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Tue, Jan 21 - AI for Trainers

What: Are you ready to dip your toes into AI for training, but feeling a bit intimidated? This session is an introduction for trainers, a friendly starting point. Whether you tap into AI to design innovative training programs, automate tasks, or personalize the learning experience, it all begins with leveraging prompts.

Who: Becky Becky Pike Pluth President and CEO, The Bob Pike Group; William Rintz from UMU an AI-powered performance learning platform.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Tue, Jan 21 - Conversation with Reynolds Journalism Institute Project Fellows

What: A conversation with Reynolds Journalism Institute Project Fellows and the projects they are working on.

Who: Andy Lee Roth is directing a project on Algorithmic Literacy for Journalists; Aura Walmer, is building a web-based toolkit that provides journalists with step-by-step guidance for creating data sonification projects; Zoli Csernatony and Dana Amihere are developing DigInThere, a tool to help newsrooms promote more informed, positive engagement in the comments sections.  

When: 7 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists

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Wed, Jan 22 - Artificial Intelligence and Ethics

What: Find out what audiences expect from news when it comes to using AI. Join for a discussion about how AI is being used in photography and what action journalists and policymakers must consider.

Who: Chris Frost, council chair of the National Union of Journalists’ Ethics Council; Felix Simon, research fellow at the Reuters Institute for the Study of Journalism; Nick Dunmur, photographer and Head of Business & Legal at the Association of Photographers; Mathilde Pavis, international expert in intellectual property, data and ethics.

When: 12:30 pm

Where: Zoom

Cost: Free

Sponsor: National Union of Journalists, the voice of journalism in the UK and Ireland for all media, communications and PR workers

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Wed, Jan 22 - AI Tools for Video Creation

What: We’ll cover how to use Sora journalistically, and how to disclose its use to readers. We’ll also look at LensGo, FLUX, Google Video, Runway ML and other text-to-video and image-to-video tools. Participants will be given a handout with links to all the tools and exercises on how to use them. Prior to the session, have an account set up at Sora and RunwayML. And have access to a YouTube account if we want to post the videos there afterward.

Who: Mike Reilley  Senior Lecturer, University of Illinois-Chicago.

When: 2 pm, Eastern  

Where: Zoom

Cost: Free for members, $25 for nonmembers

Sponsor: Online News Association

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Wed, Jan 22 - Copyright Confusion? Fair Use to the Rescue!

What: Definitive answers about fair use are tough to find, as most copyright decisions are determined by the courts. Yet, library patrons seek guidance about their use of copyrighted materials more frequently than sometimes the reference desk can handle. This webinar offers strategies for helping patrons make their own use decisions, and solidify the foundations on which fair use decisions are made.

Who: Sara Wolf is an associate professor of technology and media at Auburn University.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Niche Academy

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Wed, Jan 22 - Storytelling for Impact

What: Tips, techniques and tools to help the modern marketer tell better and more impactful stories to activate their audiences around ideas and actions.

Who: Firespring’s Kiersten Hill

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Firespring

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Wed, Jan 22 - The Sports Advisers Are In: Breaking Down Barriers

What: There are many reasons why a sports staff may not be generating quality sports content, but the biggest hurdle is not always poor access to athletes. It might also be due to limited imagination and an over-reliance on sources. There are many other ways to diligently and creatively cover athletics on your campus. Stop in to learn ways to develop relationships with athletes, coaches and athletic departments, to take new approaches, and to develop story ideas that should elevate your sports coverage across any platform.

Who: Joe Gisondi, a student media adviser for more than 20 years, is a professor of journalism, director of student publications at Eastern Illinois University; John DiCarlo is the Managing Director of Student Media and the Claire Smith Center for Sports Media at Temple University's Klein College of Media and Communication; Chris Babb is in his sixth year as an instructor in the Rogers Department of Communication and faculty advisor for the student sports media production program at Ouachita Baptist University in Arkansas.

When: 5 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: College Media Association

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Thu, Jan 23 - Introduction to Reporting on AI

What: Designed for reporters interested in getting started but with minimal or no knowledge of AI. We will dissect what makes a good AI accountability story, from quick turnaround stories to more ambitious investigations, as well as digging deeper into a few examples.

Who: Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society. She was formerly a contributing writer at The Atlantic, a foreign correspondent covering China’s technology industry for the Wall Street Journal, and a senior editor for AI at MIT Technology Review.

When: 11 am, Eastern

Where: Zoom

Cost: Free

Sponsor: Pulitzer Center

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Thu, Jan 23 - 5 Surprising Ways to Use AI to Empower Your Editorial Teams

What: AI is transforming the way editorial teams work, but are you using it to its full potential? In this free webinar, we’ll explore five surprising ways AI can enhance your editorial processes, from streamlining content creation to improving audience engagement and optimizing workflows. Discover practical applications you might not have considered and learn how to integrate these tools seamlessly into your team’s daily tasks. 

Who: David Arkin, CEO of David Arkin Consulting.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: New England Newspaper & Press Association

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Thu, Jan 23 - Expert Panel Discussion: Learning Trends 2025

What: This expert panel will share their insights on the transformative learning technologies poised to shape the future.

Who: Karl Kapp, Director, Institute for Interactive Technologies, Bloomsburg University; Tony O’Driscoll Research Fellow and Academic Director, Duke University; David Metcalf, Ph.D. Director, Mixed Emerging Technology Integration Lab, University of Central Florida; Anders Gronstedt, President, The Gronstedt Group.

When: 3 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: OpenSesame

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Thu, Jan 23 – Podcasting 101

What: An insightful discussion on Podcasting 101, where our expert podcasters will cover everything from choosing the right equipment and software to building an engaged audience, monetizing your content, and much more!

Who: Charlotte Norsworthy Varnum, Executive Director at The Red & Black; Wanda Lloyd, Northwestern School of Management/Maynard Institute; Mitch Leff, President Leff & Associates.

When: 7 pm, Eastern

Where: Zoom

Cost: Free, RSVP at: SPJGeorgia@gmail.com

Sponsor: Society of Professional Journalism

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12 Ways to Spot AI Images or Videos

Tips for determining if an image or video is likely created by AI.

THE BACKGROUND. Are people in the background looking at the unusual thing going on? If they are going about their business, it is likely a fake. Often, the background of AI images will be distorted. Sometimes odd shapes in the background details are giveaways, such as floor tiles or walls. 

OTHER VIDEOS & PHOTOS. If the video or image is of a news event and there are no other videos or images showing different angles, it may be AI-generated. It is unlikely that there would be only a single image or video of something odd or newsworthy.

DETAILS. AI generators are not good at details—like fingers, hands and hair. Many times, AI software will show too many fingers or odd hand placement. Other oddities might be mismatched shoes or earrings, a misshapen jaw, or extra legs.

WRITING. Look closely at writing on a sticker, street sign or billboard. Watch for blurry writing when it shouldn’t be or wrongly formed letters, or the letters that don’t spell words.

GLOSSY. The overly glossy look, similar to some stock photos, can be an AI giveaway. Watch for people with plastic-looking faces.

THE SOURCE. Is the person or organization sharing the image reliable and not known for promoting AI-generated media?

THE EYES. In deepfake videos, people sometimes blink oddly or else they make strange eye movements. Researchers at Cornell University found deepfake faces don’t blink properly. Also, techniques devised for measuring galaxies, researchers have found that deepfake images don't have the same consistency in reflections in both eyes.

THE FACE. Look carefully at the area around the face for evidence that it was swapped onto another person’s body.

THE LIPS. Do the lips have abnormal movements and unrealistic positioning?

MOVEMENT. Watch for unnatural jumps or the absence of motion blur that is typically present in authentic videos. If creators manipulate AI-generated photos using Photoshop techniques such as blurring or file compression, they can fool detection tools.

PATTERNS. AI images often have abnormal patterns in the physics of lighting.

PHOTOMETRIC CLUES. Look at “photometric” clues such as blurring around the edges of objects that might suggest they’ve been added later; noticeable pixelation in some parts of an image but not others; and differences in coloration.

More about spotting fake news

AI Definitions: Explainability

Explainability (or explainable AI; it is similar to but not the same as interpretability or interpretable AI) - While interpretability relates to understanding an AI’s inner workings, explainable AI focus on observed patterns in what the AI does to draw conclusions. Applied after a model has already made its decision or prediction, explainability offers insight into which features or variables played into the outcome in an effort to ensure accuracy, fairness and user trust. Explainability focuses on individual decisions, rather than the model as a whole. Because explainability techniques are applied after the fact, they can be used with any model. On the downside, it can oversimplify a model's decision-making process and make is often difficult for non-experts to understand. Some governments are requiring that AI systems include explainability.

More AI definitions here

False Starts

It is important to distinguish between a real new beginning in someone’s life and a simple defensive reaction to an ending. Each may exert strain on a relationship, but the new beginning must be honored. The defensive reaction is simply a new way of perpetuating the old situation and needs to be considered as such.

Unfortunately, there is no psychological test you can take at such times. It is often difficult to be sure whether some path leads forward or back, and it may be necessary to follow it for a little way to be sure. But there are two signs that are worth looking for before you start. The first is the reaction of people who know you well: not whether they approve or disapprove, but whether they see what you propose to do as something new or simply a replay of an old pattern. The second indication comes from the transition process itself: Have you really moved through endings into the neutral zone and found there the beginning you now want to follow is this “beginning” a way of avoiding an ending or aborting the neutral zone experience?

William Bridges, Transitions

13 Ways to Spot AI Writing

Tips for determining if an article is likely written by AI.

OVERUSED WORDS. AI-written articles tend to come back to the same terms multiple times. Examples would be comprehensive, delve, meticulous, versatile and pivotal. Before 2024, overused AI words in scientific research papers were typically nouns. More recently, researchers say AI excessively uses "style" words—mostly verbs and some adjectives. The phrases AI picks up can often make the text sound more like marketing material than academic scholarship or quality news writing.

TORTURED ACRONYMS. Generative AI will sometimes pick up the wrong words for an acronym. For instance, a data science paper might use "CNN" to refer to "convolutional brain organization" instead of "convolutional neural network.”

NONSENSICAL PARAPHRASES. An academic paper written by AI might have “glucose bigotry” instead of “glucose intolerance,” where it changed a single word and did not recognize the context.  

ACADEMIC CITATIONS. AI-written articles with academic citations have been known to include incorrect or incomplete references. AI writing has been also known to take quotations out of quotation marks, paraphrase them, and delete the citation.

STYLE CHANGES. A sudden change in writing style within an article or essay may indicate that the author’s work was rewritten using AI.

PERFECT GRAMMAR. A typo, particularly in student writing, could indicate the article or essay is not wholly the work of a bot. Mistake-free writing is, ironically, a red flag. However, savvy writing prompts may ask the AI to include some errors in order to mislead inspectors.

MECHANICAL STYLING. AI tends to mechanically repeat expressions that appear often in the internet material that it was trained on. The result is often uninspired and generic prose that often lacks any specific point. 

ARTICLES. AI will make errors in the use of definite and indefinite articles, often because it does not recognize the context to determine whether an article is required and which one. For example, AI editors will often fail to use the definite article before common nouns such as “participants” and “results” when referring to a study.  “Results show that…” is a general reference while “The results show that…” are those of the present study. Generative AI will miss this distinction.

SUBJECT-VERB AGREEMENT. AI often fumbles subject-verb agreement when the verb does not immediately proceed the verb. 

VERB TENSE. Generative AI will confuse when to use past tense and present tense.

LINKING WORDS. AI editors tend to delete words linking sentences and paragraphs, such as “however,” “therefore,” “in contrast,” and “moreover.”

ARCHAIC LANGUAGE. Since older texts from the early twentieth have been more available to use as training data sets for LLMs than current writing samples, some researchers have found overuse of words that were popular then but have since fallen out of common usage as evidence of generative AI.  

PREDICTABILITY. Text is more likely to be human than AI when it includes sarcasm, current pop-references or insults the reader. Writing that doesn't match predictable patterns is more likely to be human generated.

 More about spotting fake news

Taking Action

It doesn’t matter if you have a genius IQ and a PhD in quantum physics, you can’t change anything or make any sort of real-world progress without taking action. There’s a huge difference between knowing how to do something and actually doing it. Knowledge and intelligence are both useless without action. It’s as simple as that.

Successful people know that a good plan executed today is better than a perfect plan executed someday. They don’t wait for the “right time” or the “right day” or the “right (impossible) circumstances”, because they know these reactions are based on a fear and nothing more. They take action here and now, today – because that’s where real progress happens.

Angel Chernoff

AI Hallucinations "can be remarkably useful"

Innovators are finding that A.I. hallucinations can be remarkably useful. “The public thinks it’s all bad,” said Amy McGovern, a computer scientist who directs a federal A.I. institute. “But it’s actually giving scientists new ideas. It’s giving them the chance to explore ideas they might not have thought about otherwise.” A.I. hallucinations are reinvigorating the creative side of science. They speed the process by which scientists and inventors dream up new ideas and test them to see if reality concurs.

-William Broad writing in the New York Times

The Common Mistake in Premarital Counseling

The failure of premarital counseling to affect the divorce rate today may be due primarily to the fact that the approach is often directed toward the couple's relationship. The focus on personality, psychodynamics, and transactions has deprived couples of a more enriching perspective from which to evaluate their problems and their future. By switching the focus to the bride and groom's families of origin, not only can premarital counseling be made more effective in its own right, but the very experience also becomes an opportunity to affect more than one couple and far more than one generation.

Edwin Friedman, Generation to Generation

AI Definitions: Unsupervised training

Unsupervised training - Just as children mostly learn to explore their world on their own, without the need for too much instruction, in this type of AI training, the AI is turned loose on raw data without a human first labeling the data. Instead of the AI being told what to look for, it learns to recognize and cluster data possessing similar features. This can reveal hidden groups, links, and patterns within the data and is really helpful when the user cannot describe the thing they are looking for—such as a new type of cyberattack. Not as expensive as supervised learning, it can work in real-time but is also less accurate.

More AI definitions here

16 Webinars This Week about AI, Journalism & Media

Tue, Jan 14 - AI Innovator Collaborative

What: A regular gathering for ONA members already using AI in journalism to connect and share ideas.

When: 3 pm, Eastern

Where: Zoom

Cost: Free to ONA members ($75 annually, $25 students)

Sponsor: Online News Association

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Tue, Jan 14 - Writing and Pitching Reported Personal Essays

What: The popular personal essay is still in demand, but many editors now seek the hybrid reported personal essay, which combines research, interviews, expert quotes, journalism skills, and creative nonfiction storytelling. In this webinar, we will differentiate types of personal essays with an emphasis on the format, process, and tools needed for the reported personal essay genre. We’ll also share advice on markets such as style, travel, life, parenting, health and opinion sections and provide tips on how to pitch editors.

Who: ASJA member and New School writing professor Candy Schulman; Karen Blum, an ASJA member, heads ASJA’s Virtual Education Committee.

When: 1 pm, Eastern

Where: Zoom

Cost: Free to members, $20 for nonmembers

Sponsor: The American Society of Journalists and Authors

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Tue, Jan 14 - Fact Checking - A Global Update

What: While all good journalists already fact check their stories, independent fact-checking organizations have sprung up around the world to address the increased misinformation being promoted in social media and by many political figures.

Who: Angie Holan, Director of the International Fact Checking Network, will talk about how the IFCN is helping groups and journalists around the world. Dulamkhorloo Baatar is the founder of NEST Mongolia, the Mongolian affiliate with the IFCN. She will discuss the importance of having an independent fact checking organization, especially in a fledgling democracy, like that in Mongolia.

Retired journalist and educator Jeff South will moderate the session.

When: 7 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists

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Tue, Jan 14 - Create Captivating Marketing Videos Fast using PowerPoint

What: This session will show you how to use PowerPoint to create all of this kind of content so that it’s impactful, shows off your brand in the best light, and effectively communicates. Plus, see how you can not only create it quickly in PowerPoint, but then repurpose the content easily into multiple other formats. You’ll be amazed at what’s possible, and so will your clients. Understand the process for creating visuals for your content that communicate effectively Become a wizard with PowerPoint to create and repurpose content quickly and easily Transform your visual content for use across multiple channels

Who: Richard Goring Director, BrightCarbon

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Training Magazine Network

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Wed, Jan 15 - Build Smarter Campaigns with AI-Powered Communication Strategies

What: This interactive workshop teaches participants how to use AI tools like ChatGPT or Jasper to craft personalized donor communication campaigns. Attendees will engage in a hands-on exercise, drafting email templates and social media posts using AI tools with live feedback from experts. They will also learn about how TechSoup’s AI Services can enhance donor engagement and overall impact for nonprofits.

Who: Lisa Quigley Tapp Network; Kayla Walsh Tapp Network.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: TechSoup

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Wed, Jan 15 - A digital safety primer for journalists

What: Best practices and resources on digital safety for journalists. Attendees will learn how to gauge their own risks, assess their habits and leave with a list of resources they can deploy to improve their digital safety.

Who: Jyoti Madhusoodanan Civic Science Fellow, AHCJ; Alison Joyce Senior analyst, New York Times Information Security Team; Tat Bellamy-Walker Program manager of digital safety training and resources (media), PEN America.

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Association of Health Care Journalists and the National Association of Science Writers

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Wed, Jan 15 - Report for America Information Session

What: Report for America is a national service program that places early-career and experienced journalists in local newsrooms to report on under-covered topics and communities across the United States and its territories. The application is now open for 80+ corps member reporter positions in RFA host newsrooms. If you have any questions or are just curious about RFA, this info session is for you!

Who: - Earl Johnson is Report for America's Vice President of Recruitment and Alumni Engagement. Tim Lampley is Report for America's recruitment manager.  

When: 1:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Report for America

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Wed, Jan 15 - Reporting Responsibly on Immigration Policies and Issues in Times of Crisis

What: A conversation with journalists, elected officials, and community activists about responsible reporting on immigration policies and issues. ⁠

Who: Liz Rebecca Alarcon, founder and CEO of Pulso

When: 6 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Latinas Represent, The Pivot Fund

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Thu, Jan 16 - Covering tariffs: What journalists need to know

What: Panelists will discuss how steel tariffs in the early 2000s affected exports, production and employment; What broad-based tariffs could mean for U.S. consumers in 2025 and beyond.[A brief history of tariffs in the U.S. Ideas for humanizing stories about international tariffs and interpreting research for a general audience.

Who: Lydia Cox, an assistant professor of economics at the University of Wisconsin-Madison; Doug Irwin, the John French Professor of Economics at Dartmouth College; Alex Goldmark, executive producer of National Public Radio’s Planet Money.

When: 12 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Harvard’s Shorenstein Center

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Thu, Jan 16 - 2025’s Top Media and Advertising Data Trends

What: Dive deep into predictions for trends, changes, and new challenges in the wide world of data. You’ll find out: How convergence is shaping the entire ecosystem, data privacy, and how to plan for the future. Predictions for the tactical future of GenAI applications across media and advertising.

Who: David Fisher, industry principal media & entertainment, UK & EMEA, Snowflake; David Wells, industry principal Adtech & Martech, Snowflake: Erin Foxworthy, industry principal, agencies & advertisers, Snowflake.  

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Snowflake, Adweek  

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Thu, Jan 16 - Trump's vowed to deport millions. Are you ready to cover the story?

What: This isn’t just a border story – it could have a significant impact throughout the South, including where you live. It’s time to prepare to cover this critical story. Don’t know anything about immigration? Never covered deportations? We’ll help you get started. We will offer local reporters practical tips on  how to cover immigration, immigration enforcement, detentions and deportations far away from the U.S.-Mexico border. This webinar is geared toward journalists in Arkansas, Tennessee, Louisiana and Mississippi but is open to journalists across the U.S. 

Who: Award-winning Memphis-based reporter Daniel Connolly has reported on immigration issues for news outlets, including The Associated Press, The (Memphis) Commercial Appeal and national legal news service Law360. He wrote a book on Mexican immigration to the South, “The Book of Isaias,” published in 2016.   

When: 1 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Society of Professional Journalists

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Thu, Jan 16 - How Influencers Are Changing Our Information Ecosystem

What: An overview of the landscape for influencers in today’s media environment, followed by a conversation about how we can understand the role of influencers and consume their content wisely.

Who: Robert Downen, Democracy Reporter, The Texas Tribune; Malynda Hale, actress and activist; Kurt Sampsel, Senior Program Manager, PEN America; Bridget Todd, creator and host, iHeartRadio’s There Are No Girls on the Internet podcast; host, Mozilla Foundation’s IRL podcast.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Pen America

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Thu, Jan 16 - Simplified Video Workflows for Newsrooms

What: This session is designed to equip your newsroom with a simplified process for integrating vertical video into your reporting. Come for a hands-on experience that covers the entire short-form video creation process from pre-production to post-production, while streamlining workflows for you and your team to consistently produce verticals. Also: Leveraging local reporting opportunities, the ins and outs of filming yourself, and a few tricks to boost social engagement while building your presence on social platforms.

Who: Oriel Danielson, video editor at LinkedIn News.

When: 2 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: The Knight Foundation’s Newsroom Collective

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Thu, Jan 16 - IJNR’s Tools for Environmental Justice Reporting  

What: The reporting grants and fellowships offered by the IJNR. These resources are designed to empower journalists to tell impactful stories on environmental justice and natural resource issues. 

Who: Dave Spratt, Chief Executive Officer; Adam Hinterthuer, Director of Programs; Francisco Ramirez Pinedo, Program Associate; Melissa Mylchreest, Director of Communication

When: 5:30 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: Institute for Journalism & Natural Resources

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Thu, Jan 16 - The Rise of Citizen Journalism: What does it mean under the Trump 2.0?

What: A panel discussion for creators, journalists, podcasters, photographers, and videographers.

When: 8 pm, Eastern

Where: Zoom

Cost: Free

Sponsor: FrameShift Foundation

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Fri, Jan 17 - Negotiate Like a Rockstar with FSP and IIJ

What: A collaborative discussion of rate negotiation, a vital skill freelancers should leverage both individually and collectively. A panel of experienced freelance journalists from across the industry will discuss strategies for gauging fair rates, setting a ground floor, and pushing for higher pay, better contract terms, and other points of negotiation. Then, attendees and speakers will share success stories, tips, and tricks in facilitated small groups to build our collective wisdom.

Who: Lily Meyer - Moderator, writer and organizer with the National Writers Union's Freelance Solidarity Project; Joseph Lee - Freelance journalist and author; Mónica Ortiz Uribe - Freelance journalist; Erin McGregor - Program Manager, Association of Independents in Radio Katherine; Reynolds Lewis - founder of the Institute for Independent Journalists.

When: 12 noon, Eastern

Where: Zoom

Cost: Free

Sponsor: Institute for Independent Journalists and the National Writers Union's Freelance Solidarity Project

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AI Definitions: GPT

GPT (Generative Pre-trained Transformer) – G for Generative because it generates words. P for Pre-trained because it’s trained on a lot of text. This step is called pre-training because many language models (like the one behind ChatGPT) go through important additional stages of training known as fine-tuning to make them less toxic and easier to interact with. T for Transformer which is a relatively recent breakthrough in how neural networks are wired. They were introduced in a 2017 paper by Google researchers, and are used in many of the latest AI advancements, from text generation to image creation. So GPT refers to a LLM (large language model) type of AI that first goes through an unsupervised period (no data labeling by humans followed by a supervised "fine-tuning" phase (some labeling).

More AI definitions here