The IPTC is happy to announce that NewsML-G2 version 2.32 has been released.
All documentation relating to version 2.32 can be found at the NewsML-G2 2.32 documentation page.
The changes in 2.32 are:
- Added new attributes
authoritystatusurito the scheme, schemeMeta and catalog elements. These attributes describe the status of the authority managing a resource such as a scheme or a catalog.
- Added a new NewsCodes vocabulary https://cv.iptc.org/newscodes/authoritystatus with the values “No current authority”, “No single authority” and “Country-specific authority”.
- Updated the IPTC catalog to version 38, including the new authoritystatus vocabulary and also added a “cvx.iptc.org” vocabulary, ticker. Added an
authoritystatusattribute to the following schemes: isin, a1312cat, a1312prio, a1312svc, a1312vers. Also update to note on the frmt vocabulary removing the part that says it is only applicable to NewsML 1.
- Update schema documentation for qcode, uri and literal throughout to be more accurate.
- Remove https from CV references in schema documentation
- Update dev schema to use 2.32.
- The schema documentation for “creator” and “creatoruri” attributes is now correct and consistent across all instances.
All information related to NewsML-G2 2.32 is at https://iptc.org/std/NewsML-G2/2.32/.
Example instance documents are at https://iptc.org/std/NewsML-G2/2.32/examples/.
Full XML Schema documentation is located at https://iptc.org/std/NewsML-G2/2.32/specification/XML-Schema-Doc-Power/
The NewsML-G2 Generator tool has also been updated to produce NewsML-G2 2.32 files using the version 38 catalog.
For any questions or comments, please contact us via the IPTC Contact Us form or post to the firstname.lastname@example.org mailing list. IPTC members can ask questions at the weekly IPTC News Architecture Working Group meetings.
CIPA, the Camera and Imaging Products Association based in Japan, has released version 3.0 of the Exif standard for camera data.
The new specification, “CIPA DC-008-Translation-2023 Exchangeable image file format for digital still cameras: Exif Version 3.0” can be downloaded from https://www.cipa.jp/std/documents/download_e.html?DC-008-Translation-2023-E.
Version 1.0 of Exif was released in 1995. The previous revision, 2.32, was released in 2019. The new version introduces some major changes so the creators felt it was necessary to increment the major version number.
Fully internationalised text tags
In previous versions, text-based fields such as Copyright and Artist were required to be in ASCII format, meaning that it was impossible to express many non-English words in Exif tags. (In practice, many software packages simply ignored this advice and used other character sets anyway, violating the specification.)
In Exif 3.0, a new datatype “UTF-8” is introduced, meaning that the same field can now support internationalised character sets, from Chinese to Arabic and Persian.
The definition of the ImageUniqueID tag has been updated to more clearly specify what type of ID can be used, when it should be updated (never!), and to suggest an algorithm:
This tag indicates an identifier assigned uniquely to each image. It shall be recorded as an ASCII string in hexadecimal notation equivalent to 128-bit fixed length UUID compliant with ISO/IEC 9834-8. The UUID shall be UUID Version 1 or Version 4, and UUID Version 4 is recommended. This ID shall be assigned at the time of shooting image, and the recorded ID shall not be updated or erased by any subsequent editing.
Guidance on when and how tag values can be modified or removed
Exif 3.0 adds a new appendix, Annex H, “Guidelines for Handling Tag Information in Post-processing by Application Software”, which groups metadata into categories such as “structure-related metadata” and “shooting condition-related metadata”. It also classifies metadata in groups based on when they should be modified or deleted, if ever.
Examples (list may not be exhaustive)
Shall be updated with image structure change
DateTime (should be updated with every edit), ImageWidth, Compression, BitsPerSample
Can be updated regardless of image structure change
ImageDescription, Software, Artist, Copyright, UserComment, ImageTitle, ImageEditor, ImageEditingSoftware, MetadataEditingSoftware
Shall not be deleted/updated at any time
Can be deleted in special cases
Make, Model, BodySerialNumber
Can be corrected [if wrong], added [if empty] or deleted [in special cases]
DateTimeOriginal, DateTimeDigitized, GPSLatitude, GPSLongitude, LensSpecification, Humidity
Collaboration between CIPA and IPTC
CIPA and IPTC representatives meet regularly to discuss issues that are relevant to both organisations. During these meetings IPTC has contributed suggestions to the Exif project, particularly around internationalised fields and unique IDs.
We are very happy for our friends at CIPA for reaching this milestone, and hope to continue collaborating in the future.
Developers of photo management software understand that values of Exif tags and IPTC Photo Metadata properties with a similar purpose should be synchronised, but sometimes it wasn’t clear exactly which properties should be aligned. IPTC and CIPA collaborated to create a Mapping Guideline to help software developers implement it properly. Most professional photo software now supports these mappings.
Complete list of changes in Exif 3.0
The full set of changes in Exif 3.0 are as follows (taken from the history section of the PDF document):
- Added Tag Type of UTF-8 as Exif specific tag type.
- Enabled to select UTF-8 character string in existing ASCII-type tags
- Enabled APP11 Marker Segment to store a Box-structured data compliant with the JPEG System standard
- Added definition of Box-structured Annotation Data
- Added and changed the following tags:
- Added Title Tag
- Added Photographer Information related Tags (Photographer and ImageEditor)
- Added Software Information related Tags (CameraFirmware, RAWDevelopingSoftware, ImageEditingSoftware, and MetadataEditingSoftware)
- Changed Software, Artist, and ImageUniqueID
- Corrected incorrect definition of GPSAltitudeRef
- GPSMeasureMode tag became to support positioning information obtained from GNSS in addition to GPS
- Changed the description support levels of the following tags:
- Discarded Annex E.3 to specify Application Software Guidelines
- Added Annex H. (at the time of publication) to specify Guidelines for Handling Tag Information in Post-processing by Application Software
- Added Annex I.and J. (both at the time of publication) for supplemental information of Annotation Data
- Added Annex K. (at the time of publication) to specify Original Preservation Image
- Corrected errors, typos and omissions accumulated up to this edition
- Restructured and revised the entire document structure and style
Following the recent announcements of Google’s signalling of generative AI content and Midjourney and Shutterstock the day after, Microsoft has now announced that it will also be signalling the provenance of content created by Microsoft’s generative AI tools such as Bing Image Creator.
Microsoft’s efforts go one step beyond those of Google and Midjourney, because they are adding the image metadata in a way that can be verified using digital certificates. This means that not only is the signal added to the image metadata, but verifiable information is added on who added the metadata and when.
As TechCrunch puts it, “Using cryptographic methods, the capabilities, scheduled to roll out in the coming months, will mark and sign AI-generated content with metadata about the origin of the image or video.”
The system uses the specification created by the Coalition for Content Provenance and Authenticity. a joint project of Project Origin and the Content Authenticity Initiative.
The 1.3 version of the C2PA Specification specifies how a C2PA Action can be used to signal provenance of Generative AI content. This uses the IPTC DigitalSourceType vocabulary – the same vocabulary used by the Google and Midjourney implementations.
This follows IPTC’s guidance on how to use the DigitalSourceType property, published earlier this month.
We have just finished the IPTC Spring Meeting in Tallinn, Estonia. Our first face-to-face IPTC Member Meeting since 2019, those who could attend in person were very happy to be back together, enabling collaboration, knowledge sharing and building bonds across organisations in the media industry.
We were also joined by over 50 online attendees from IPTC member organisations, who braved sometimes difficult timezone differences to view many of the sessions in real time and participate in discussions. Other IPTC members who weren’t able to be there either physically or virtually will be able to watch recordings of the sessions soon.
Themes this time obviously included Generative AI, but also fact-checking and provenance, social media embedding and social stories,
Highlights of the Monday included a special briefing about digital citizenship and digital governance at the e-Estonia Briefing Centre, where members heard from an Estonian government representative who described Estonia’s electronic tax, medicine, administration and even e-voting system, all powered by the cryptographically-protected digital ID card and the X-Road system of interconnecting all of e-Estonia’s services, across both the private and public sector.
Also on the Monday we heard from Gerd Kamp (dpa) who explained how dpa are using Web Components technology to embed social media into their articles in a way that’s much easier for their customers to process. We also heard Working Group presentations and new standard proposals from the NewsML-G2 Working Group and the News in JSON Working Group, whose lead Johan Lindgren (TT) handed over the reins to Ian Young (PA Media / Alamy) who promises to be a fine leader of the group in the future. We say many thanks to Johan for all his contributions to IPTC over the past 25 years!
We also heard from Evi Varsou (ATC) who demonstrated some of ATC’s tools for fighting fake news and misinformation, used by some of the world’s top news organisations.
Day 2 saw Dave Compton (Refinitiv, an LSE Group Company) describe some of their work on handling augmenting news content in real time with analytics information. Then we heard invited speaker Maria Amelie (Factiverse) talk about her troubles with the Norwegian authorities, being deported, and eventually getting Norwegian law changed to support refugees like herself. She now runs the startup Factiverse which is looking at using AI to help promote fact checks as fast as possible, via their site Factisearch (among other projects).
After a discussion on rights and RightsML, we heard from Estonian startup Texta (who provide several tools for media organisations, including an automated comment feed moderator that works in many languages), and German startup Storifyme.com who have created a tool that lets media companies quickly and easily create social posts from news stories – still very relevant even as Google AMP is being wound down.
Tuesday was rounded off by Jennifer Parrucci (The New York Times) presenting the NewsCodes Working Group‘s update, and Paul Kelly (Individual Member) giving an update on the huge amount of work on IPTC Sport Schema from the Sports Content Working Group.
On Wednesday, after an EGM voting on an update to the Articles of Association, we heard from Charlie Halford (BBC) on Project Origin and C2PA, and Sebastian Posth of International Standard Content Code.
We also voted in updates to NewsML-G2 and ninjs, which will be announced here soon.
We’re already looking forward to the Autuymn Meeting, held in October online, and Spring Meeting 2024, hopefully in New York City!
As a follow-up to yesterday’s news on Google using IPTC metadata to mark AI-generated content we are happy to announce that generative AI tools from Midjourney and Shutterstock will both be adopting the same guidelines.
According to a post on Google’s blog, Midjourney and Shutterstock will be using the same mechanism as Google – that is, using the IPTC “Digital Source Type” property to embed a marker that the content was created by a generative AI tool. Google will be detecting this metadata and using it to show a signal in search results that the content has been AI-generated.
A step towards implementing responsible practices for AI
We at IPTC are very excited to see this concrete implementation of our guidance on metadata for synthetic media.
We also see it as a real-world implementation of the guidelines on Responsible Practices for Synthetic Media from the Partnership on AI, and of the AI Ethical Guidelines for the Re-Use and Production of Visual Content from CEPIC, the alliance of European picture agencies. Both of these best practice guidelines emphasise the need for transparency in declaring content that was created using AI tools.
The phrase from the CEPIC transparency guidelines is “Inform users that the media or content is synthetic, through
labelling or cryptographic means, when the media created includes synthetic elements.”
The equivalent recommendation from the Partnership on AI guidelines is called indirect disclosure:
“Indirect disclosure is embedded and includes, but is not limited to, applying cryptographic provenance to synthetic outputs (such as the C2PA standard), applying traceable elements to training data and outputs, synthetic media file metadata, synthetic media pixel composition, and single-frame disclosure statements in videos”
Here is a simple, concrete way of implementing these disclosure / transparency guidelines using existing metadata standards.
Moving towards a provenance ecosystem
IPTC is also involved in efforts to embed transparency and provenance metadata in a way that can be protected using cryptography: C2PA, the Content Authenticity Initiative, and Project Origin.
C2PA provides a way of declaring the same “Digital Source Type” information in a more robust way, that can provide mechanisms to retrieve metadata even after the image was manipulated or after the metadata was stripped from the file.
However implementing C2PA technology is more complicated, and involves obtaining and managing digital certificates, among other things. Also C2PA technology has not been implemented by platforms or search engines on the display side.
In the short term, AI content creation systems can use this simple mechanism to add disclosure information to their content.
The IPTC is happy to help any other parties to implement these metadata signals: please contact IPTC via the Contact Us form.
At today’s Google I/O event keynote, Sundar Pichai, CEO of Google, explained how Google will be using embedded IPTC image metadata to signal visual media created by generative AI models.
“Moving forward, we are building our models to include watermarking and other techniques from the start,” Pichai said. “If you look at a synthetic image, it’s impressive how real it looks, so you can imagine how important this is going to be in the future.
“Metadata allows content creators to associate additional context with original files, giving you more information whenever you encounter an image. We’ll ensure every one of our AI-generated images has that metadata.”
The IPTC Photo Metadata section of Google Images’ guidance on metadata has been updated with new guidance on the DigitalSourceType field:
This follows the guidance on IPTC Photo Metadata for Generative AI that was recently published by IPTC.
“AI-Generated” label on Google Images
The above guidance hints at an “AI-generated label” to be used on Google Images in the future. Google recommends that all creators of AI-generated images use the IPTC Digital Source Type property to signal AI-generated content. While Google says that “you may not see the label in Google Images right away”, it appears that it will soon be available in Google Images search results.
The IPTC has updated its Photo Metadata User Guide to include some best practice guidelines for how to use embedded metadata to signal “synthetic media” content that was created by generative AI systems.
After our work in 2022 and the draft vocabulary to support synthetic media, the IPTC NewsCodes Working Group, Video Metadata Working Group and Photo Metadata Working Group worked together with several experts and organisations to come up with a definitive list of “digital source types” that includes various types of machine-generated content, or hybrid human and machine-generated media.
Since publishing the vocabulary, the work has been picked up by the Coalition for Content Provenance and Authenticity (C2PA) via the use of digitalSourceType in Actions and in the IPTC Photo and Video Metadata assertion. But the primary use case is for adding metadata to image and video files
Here is a direct link to the new section on Guidance for using Digital Source Type, including examples for how the various terms can be used to describe media created in different formats – audio, video, images and even text.
IPTC recommends that software creating images using trained AI algorithms uses the “Digital Source Type” value of “trainedAlgorithmicMedia” is added to the XMP data packet in generated image and video files. Alternatively, it may be included in a C2PA manifest as described in the IPTC assertion documentation in the C2PA specification.
The official URL for the full vocabulary is http://cv.iptc.org/newscodes/digitalsourcetype, so the complete URI for the recommended Trained Algorithmic Media term is http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia.
Other terms in the vocabulary include:
- Composite with synthetic elements – https://cv.iptc.org/newscodes/digitalsourcetype/compositeSynthetic – covering a composite image that contains some synthetic and some elements captured with a camera;
- Digital Art – https://cv.iptc.org/newscodes/digitalsourcetype/digitalArt – covering art created by a human using digital tools such as a mouse or digital pencil, or computer-generated imagery (CGI) video
- Virtual recording – https://cv.iptc.org/newscodes/digitalsourcetype/virtualRecording – a recording of a virtual event which may or may not contain synthetic elements, such as a Fortnite game or a Zoom meeting
- and several other options – see the full list with examples in the IPTC Photo Metadata User Guide.
Of course, the original digital source type values covering photographs taken on a digital camera or phone (digitalCapture), scan from negative (negativeFilm), and images digitised from print (print) are also valid and may continue to be used. We have, however, retired the generic term “softwareImage” which is now deemed to be too generic. We recommend using one of the newer terms in its place.
If you are considering implementing this guidance in AI image generation software, we would love to hear about it so we can offer advice and tell others. Please contact us using the IPTC contact form.
Today, IPTC announces the biggest change to the NewsCodes vocabularies in years. Almost 200 terms have been modified in the Media Topics vocabulary, including many “retirements”, trimming the CV down to exactly 1100 terms.
Overall, three controlled vocabularies have been updated: Content Warning, Content Production Party Role and Media Topic.
The changes to Media Topic CV are the biggest ever, with 9 new concepts, 60 retired concepts and 120 modified concepts, including 79 hierarchy moves.
The NewsCodes Working Group has been working hard on this update for over six months, bringing much-needed clarity to the “economy, business and finance” branch.
As part of the review, the “economic sector” sub-branch has been re-named “products and services”, handle both the companies making products or providing services, and also the products and services themselves.
Specifically, we have changed the following:
- 9 New concepts: business reporting and performance, business restructuring, commercial real estate, residential real estate, podcast, financial service, business service, news industry and diversity, equity and inclusion.
- 60 retired concepts: business finance, accounting and audit, analysts comment, earnings forecast, stock option, licensing agreement, aquaculture, arable farming, livestock farming, viniculture, fertiliser, health and beauty product, inorganic chemical, organic chemical, computer networking, computer security, telecommunication equipment, design and engineering, house building, land price, real estate, beverage, grocery, mail order, non-durable good, kerosene/paraffin, financial and business service, funeral parlour and crematorium, janitorial service, personal finance, personal income, personal service, printing service, wedding service, industrial component, instrument engineering, news agency, newspaper and magazine, online media industry, iron and steel, mining, non-ferrous metal, process industry, distiller and brewer, paper and packaging product, rubber product, soft drinks, textile and clothing, traffic, securities, renewable energy, stock recommendation, buy recommendation, hold recommendation, sell recommendation, hot stock, Internet of Things, capital goods, e-cigarette and commercial building. Most of these have notes attached describing which terms should be used instead of the retired ones.
- 39 name (label) changes: terrorist bombings, stock buyback corporate dividends corporate earnings, business financing, shareholder activity, executive officer, business strategy and marketing, products and services, commercial fishing, plastic, computer and telecommunications hardware, semiconductor and electronic component, software and applications, restoration, online shopping, toy and game, renewable energy, electricity, waste management, auction, consultancy, financial advisory service, personal finance and investment, shipping and postal service, media and entertainment industry, books and publishing, film industry, metal and mineral mining and refining, precious material, beverage and grocery, tobacco and nicotine, casinos and gambling, derivatives, stocks and securities, handicrafts, oil and gas, sales channel and heating and cooling.
- 81 definition changes: cyber crime, war crime, bankruptcy, stock buyback, corporate dividends, corporate earnings, business financing, shareholder activity, stock option, business governance, new product or service, patent, copyright and trademark, products and services, agriculture, commercial fishing, forestry and timber, pharmaceutical, plastic, computing and information technology, computer and telecommunications hardware, semiconductor and electronic component, software and applications, telecommunication service, wireless technology, restoration, clothing, online shopping, luxury good, retail, toy and game, energy and resource, renewable energy, diesel fuel, electricity, natural gas, waste management, water supply, accountancy and auditing, auction, banking, market research, personal finance and investment, rental service, shipping and postal service, defence equipment, heavy engineering, machine manufacturing, shipbuilding, media and entertainment industry, advertising, books and publishing, film industry, music industry, public relations, radio industry, television industry, metal and mineral mining and refining, building material, precious material, beverage and grocery, tobacco and nicotine, tourism and leisure industry, casinos and gambling, hotel and accommodation, restaurant and catering, tour operator, transport, air transport, railway transport, road transport, derivatives, stocks and securities, handicrafts, asset management, railway manufacturing, medical equipment, pet product and service, biofuel, utilities, streaming service and crowdfunding.
Currently, the name and description changes have only been made in English (both en-GB and en-US variants). Other language versions will come soon when their maintainers can make the appropriate changes to their translations.
Changes to Content Warning CV
New terms Drug Use, Fantasy Violence, Flashing Lights, Personally Identifiable Information to match standard terms used in the industry. The “Flashing Lights” term is intended to be used for flagging content that may trigger photosensitive epilepsy, a key accessibility concern by many broadcasters and a legal requirement in some countries.
Label change: Suffering to Upsetting and Disturbing to match industry usage.
Changes to Content Production Party Role CV
New term Distributor. Changed definition of Information Originator.
More information on IPTC Controlled Vocabularies
As always, the Media Topics vocabularies can be viewed in the following ways:
- In a collapsible tree view
- As a downloadable Excel spreadsheet
- On one page on the cv.iptc.org server
- In machine readable formats such as RDF/XML and Turtle using the SKOS vocabulary format. See the cv.iptc.org guidelines document for more detail.
For more information on IPTC NewsCodes in general, please see the IPTC NewsCodes Guidelines.
The IPTC is very happy to announce that it has joined the Steering Committee of Project Origin, one of the industry’s key initiatives to fight misinformation online through the use of tamper-evident metadata embedded in media files.
After working with Project Origin over a number of years, and co-hosting a series of workshops during 2022, the organisation formally invited the IPTC to join the Steering Committee.
Current Steering Committee members are Microsoft, the BBC and CBC / Radio Canada. The New York Times also participates in Steering Committee meetings through its Research & Development department.
“We were very happy to co-host with Project Origin a productive series of webinars and workshops during 2022, introducing the details of C2PA technology to the news and media industry and discussing the remaining issues to drive wider adoption,” says Brendan Quinn, Managing Director of the IPTC.
C2PA, the Coalition for Content Provenance and Authenticity, took a set of requirements from both Project Origin and the Content Authenticity Initiative to create a technical means of associating media files with information on the origin and subsequent modifications of news stories and other media content.
“Project Origin’s aim is to take the ground-breaking technical specification created by C2PA and make it realistic and relevant for newsrooms around the world,” Quinn said. “This is very much in keeping with the IPTC’s mission to help media organisations to succeed by sharing best practices, creating open standards and facilitating collaboration between media and technology organisations.”
“The IPTC is a perfect partner for Project Origin as we work to connect newsrooms through secure metadata,” said Bruce MacCormack, the CBC/Radio-Canada Co-Lead.
The announcement was made at the Trusted News Initiative event held in London today, 30 March 2023, where representatives of the BBC, AFP, Microsoft, Meta and many others gathered to discuss trust, misinformation and authenticity in news media.
Learn more about Project Origin by contacting us or viewing the video below:
IPTC Managing Director Brendan Quinn presented at the European Broadcasting Union’s Data Technology Seminar last week.
The DataTech Seminar, known in previous years as the Metadata Developers Network, brought over 100 technologists together in person in Geneva to discuss topics related to managing data at broadcasters in Europe and around the world.
Brendan spoke on Tuesday 21st March on a panel discussing Artificial Intelligence and the Media. Brendan used the opportunity to discuss IPTC’s current work on “do not train” signals in metadata, and on establishing best practices for how AI tools can embed metadata indicating the origin of their media.
The work of C2PA, Project Origin and Content Authenticity Initiative on addressing content provenance and tamper-evident media was also highlighted by Brendan during the panel discussion, as this relates to the prevalence of “deepfake” content that can be created by generative AI engines.
On Wednesday 22nd March, Brendan spoke in lieu of Paul Kelly, lead of the IPTC Sports Content Working Group about the IPTC SportSchema project. The session was called “IPTC Sport Schema – the next generation of sports data.” An evolution of IPTC’s SportsML standard, IPTC Sport Schema brings our 20 years of experience in sports data markup to the world of Knowledge Graphs and the Semantic Web. The specification is coming close to a version 1, so we were very proud to present it to some of the world’s top broadcasters and industry players.
The IPTC SportSchema site sportschema.org now includes comprehensive documentation of the ontology behind sports data model, examples of how it can be queried using SPARQL, example data files and instance diagrams showing how it can be used to represent common sports such as athletics, soccer, golf and hockey.
We look forward to discussing IPTC Sport Schema much more over the coming months, as we draw close to its general release.
EBU members can watch the full presentation at the EBU.ch site.