Report September 2026
Bing Search is one of the world’s leading online search engines with the primary objective of connecting users to the most relevant search results from the web
Integrity of Services
Commitment 16
Relevant Signatories commit to operate channels of exchange between their relevant teams in order to proactively share information about cross-platform influence operations, foreign interference in information space and relevant incidents that emerge on their respective services, with the aim of preventing dissemination and resurgence on other services, in full compliance with privacy legislation and with due consideration for security and human rights risks.
We signed up to the following measures of this commitment
Measure 16.1
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 16.1
Relevant Signatories will share relevant information about cross-platform information manipulation, foreign interference in information space and incidents that emerge on their respective services for instance via a dedicated sub-group of the permanent Task-force or via existing fora for exchanging such information.
QRE 16.1.1
Relevant Signatories will disclose the fora they use for information sharing as well as information about learnings derived from this sharing.
- Reputation: What types of other websites link to the site? A well-known news site is considered to have a higher reputation than a brand-new blog.
- Level of discourse: Is the purpose of the content solely to cause harm to individuals or groups of people? For example, a site that promotes violence or resorts to name-calling or bullying will be considered to have a low level of discourse, and therefore lower authority, than a balanced news article.
- Level of distortion: How well does the site differentiate fact from opinion? A site that is clearly labeled as satire or parody will have more authority than one that tries to obscure its intent.
- Origination and transparency of the ownership: Is the site reporting first-hand information, or does it summarize or republish content from others? If the site doesn’t publish original content, do they attribute the source? A first-hand account published on a personal blog could have more authority than unsourced content.
- Bing partners with independent third-party organizations, such as trusted fact checkers, news publishers, and research organizations, that provide fact checks, trustworthiness indicators, and early indicators of information operations, such as narratives or hashtags, to inform early detection and defensive search strategies. These organizations provide information for EEA member states. Bing also monitors ClaimReview open protocol based web fact checks to inform threat intelligence and through that search interventions
- Bing partners with Microsoft’s internal threat detection and research teams, including Microsoft Threat Analysis Center (MTAC), to collect and analyse data on actors of disinformation, misinformation and information manipulation across platforms. These teams collaborate with external organisations and companies to support Microsoft product and service teams effectively respond to issues and threats. Through Microsoft’s Elections and Societal Resilience team, the Rapid Response System framework and a dedicated reporting site on deceptive AI content for election candidates, Microsoft also offers mediums for election authorities, including in the EEA Member States, to have lines of communication with Microsoft to identify possible foreign information operations targeting elections
SLI 16.1.1
Number of actions taken as a result of the collaboration and information sharing between signatories. Where they have such information, they will specify which Member States that were affected (including information about the content being detected and acted upon due to this collaboration).
Empowering Users
Commitment 18
Relevant Signatories commit to minimise the risks of viral propagation of Disinformation by adopting safe design practices as they develop their systems, policies, and features.
We signed up to the following measures of this commitment
Measure 18.2
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 18.2
Relevant Signatories will develop and enforce publicly documented, proportionate policies to limit the spread of harmful false or misleading information (as depends on the service, such as prohibiting, downranking, or not recommending harmful false or misleading information, adapted to the severity of the impacts and with due regard to freedom of expression and information); and take action on webpages or actors that persistently violate these policies.
QRE 18.2.1
Relevant Signatories will report on the policies or terms of service that are relevant to Measure 18.2 and on their approach towards persistent violations of these policies.
[see pdf report page 19 for screenshot]
[see pdf report page 19 for screenshot]
In Bing’s generative AI experiences, there is generally no risk of viral spread of generated content through Bing because Bing does not allow users to directly post or otherwise share content on the platform. However, Bing has taken steps to prevent the service from being used to create misinformation that might be shared on other platforms through a multipronged approach to mitigations that helps prevent users from creating misinformative content.
This system includes terms of use and a code of conduct, classifiers, filters, metaprompting, and robust reporting mechanisms designed to mitigate the risk of potential misuse of the platform. The terms governing usage Bing Image Creator and Bing Image Creator, for example, prohibit users from using the service to generate fraudulent or misleading information, including the creation of disinformation. Bing’s ranking and relevance systems for search, which are an essential component to answering user questions in Copilot Search, work to ensure that high authority content is returned first in search results. Where Copilot Search systems flag that a user’s prompt or generated output may result in low authority or misleading information, the system will take steps to mitigate that possible harm through solutions, such as not returning generated content to the user, diverting the user to a different topic, or redirecting the user to traditional search. Users who encounter problematic content can report concerns at Microsoft-Report a Concern.
SLI 18.2.1
Relevant Signatories will report on actions taken in response to violations of policies relevant to Measure 18.2, at the Member State level. The metrics shall include: Total number of violations and Meaningful metrics to measure the impact of these actions (such as their impact on the visibility of or the engagement with content that was actioned upon).
| Country | Total no of violations | Metric 1: indicating the impact of the action taken | Metric 2: indicating the impact of the action taken | Metric 3: indicating the impact of the action taken |
|---|---|---|---|---|
| Austria | 0 | 0 | 0 | 0 |
| Belgium | 0 | 0 | 0 | 0 |
| Bulgaria | 0 | 0 | 0 | 0 |
| Croatia | 0 | 0 | 0 | 0 |
| Cyprus | 0 | 0 | 0 | 0 |
| Czech Republic | 0 | 0 | 0 | 0 |
| Denmark | 0 | 0 | 0 | 0 |
| Estonia | 0 | 0 | 0 | 0 |
| Finland | 0 | 0 | 0 | 0 |
| France | 0 | 0 | 0 | 0 |
| Germany | 0 | 0 | 0 | 0 |
| Greece | 0 | 0 | 0 | 0 |
| Hungary | 0 | 0 | 0 | 0 |
| Ireland | 0 | 0 | 0 | 0 |
| Italy | 0 | 0 | 0 | 0 |
| Latvia | 0 | 0 | 0 | 0 |
| Lithuania | 0 | 0 | 0 | 0 |
| Luxembourg | 0 | 0 | 0 | 0 |
| Malta | 0 | 0 | 0 | 0 |
| Netherlands | 0 | 0 | 0 | 0 |
| Poland | 0 | 0 | 0 | 0 |
| Portugal | 0 | 0 | 0 | 0 |
| Romania | 0 | 0 | 0 | 0 |
| Slovakia | 0 | 0 | 0 | 0 |
| Slovenia | 0 | 0 | 0 | 0 |
| Spain | 0 | 0 | 0 | 0 |
| Sweden | 0 | 0 | 0 | 0 |
| Iceland | 0 | 0 | 0 | 0 |
| Liechtenstein | 0 | 0 | 0 | 0 |
| Norway | 0 | 0 | 0 | 0 |
Commitment 19
Relevant Signatories using recommender systems commit to make them transparent to the recipients regarding the main criteria and parameters used for prioritising or deprioritising information, and provide options to users about recommender systems, and make available information on those options.
We signed up to the following measures of this commitment
Measure 19.1 Measure 19.2
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 19.1
Relevant Signatories will make available to their users, including through the Transparency Centre and in their terms and conditions, in a clear, accessible and easily comprehensible manner, information outlining the main parameters their recommender systems employ.
QRE 19.1.1
Relevant Signatories will provide details of the policies and measures put in place to implement the above-mentioned measures accessible to EU users, especially by publishing information outlining the main parameters their recommender systems employ in this regard. This information should also be included in the Transparency Centre.
Commitment 20
Relevant Signatories commit to empower users with tools to assess the provenance and edit history or authenticity or accuracy of digital content.
We signed up to the following measures of this commitment
Measure 20.2
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 20.2
Relevant Signatories will take steps to join/support global initiatives and standards bodies (for instance, C2PA) focused on the development of provenance tools.
QRE 20.2.1
Relevant Signatories will provide details of global initiatives and standards bodies focused on the development of provenance tools (for instance, C2PA) that signatories have joined, or the support given to relevant organisations, providing links to organisation websites where possible.
Commitment 22
Relevant Signatories commit to provide users with tools to help them make more informed decisions when they encounter online information that may be false or misleading, and to facilitate user access to tools and information to assess the trustworthiness of information sources, such as indicators of trustworthiness for informed online navigation, particularly relating to societal issues or debates of general interest.
We signed up to the following measures of this commitment
Measure 22.2 Measure 22.3 Measure 22.7
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Beyond training, Microsoft partners with The Lenfest Institute to support U.S. metro newspapers in hiring engineers who develop AI solutions for local newsrooms. The program has grown into an 11-organization cohort, making it the largest AI engineering fellowship and collaborative in American journalism. The fellows' work focuses on strengthening the business sustainability of local news organizations, and all projects are released as open-source tools that can be adopted by newsrooms globally. Insights and best practices from the program have been shared through case studies, code repositories, podcasts, panels, and in-person convenings.
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 22.2
Relevant Signatories will give users the option of having signals relating to the trustworthiness of media sources into the recommender systems or feed such signals into their recommender systems.
QRE 22.2.1
Relevant Signatories will report on whether and, if relevant, how they feed signals related to the trustworthiness of media sources into their recommender systems, and outline the rationale for their approach.
Measure 22.3
Relevant Signatories will make details of the policies and measures put in place to implement the above-mentioned measures accessible to EU users, especially by publishing information outlining the main parameters their recommender systems employ in this regard. This information should also be included in the Transparency Centre.
QRE 22.3.1
Relevant Signatories will provide details of the policies and measures put in place to implement the above-mentioned measures accessible to EU users, especially by publishing information outlining the main parameters their recommender systems employ in this regard. This information should also be included in the Transparency Centre.
Measure 22.7
Relevant Signatories will design and apply products and features (e.g. information panels, banners, pop-ups, maps and prompts, trustworthiness indicators) that lead users to authoritative sources on topics of particular public and societal interest or in crisis situations.
QRE 22.7.1
Relevant Signatories will outline the products and features they deploy across their services and will specify whether those are available across Member States.
- Bing has taken steps to algorithmically boost authority signals and has downgraded less authoritative information (see SLI 22.7.1). These queries are translated automatically into other languages supported by Bing and integrated into Copilot Search
- Bing works with Microsoft’s Elections and Societal Resilience Team and Threat Assessment Center (MTAC) to ensure access to signals regarding Russian cyber and information operations targeting Ukraine to inform potential algorithmic interventions both for traditional and generative AI search tools.
- Bing partners with independent third-party organizations, including trusted fact checkers, news publishers, research organizations and nonprofit organizations, to provide information related to information operations, such as actors, domains, narratives, and emerging data voids manipulated, to inform potential algorithmic interventions both for traditional and Bing’s generative AI experiences.
- Bing also takes action to remove autosuggest and related search terms that have been found likely to lead users to low authority content.
- These measures have helped ensure that Bing is generally promoting authoritative news sources, timelines, and other factual information at the top of algorithmic search results and in Copilot Search.
SLI 22.7.1
Relevant Signatories will report on the reach and/or user interactions with the products or features, at the Member State level, via the metrics of impressions and interactions (clicks, click-through rates (as relevant to the tools and services in question) and shares (as relevant to the tools and services in question).
- “Defensive Interventions (RU/UA)” refers to the total number of queries entered by users that were addressed with defensive search interventions related to the Ukraine/Russia crisis during the Reporting Period.
- “Impressions (RU/UA)” reflects the number of user impressions for queries searched by users where defensive search interventions related to the Ukraine/Russia crisis were applied during the Reporting Period.
| Country | Defensive Interventions (RU/UA) | Impressions (RU/UA) |
|---|---|---|
| Austria | 1829 | 26218 |
| Belgium | 2303 | 38282 |
| Bulgaria | 0 | 0 |
| Croatia | 0 | 0 |
| Cyprus | 0 | 0 |
| Czech Republic | 0 | 0 |
| Denmark | 1071 | 6177 |
| Estonia | 0 | 0 |
| Finland | 685 | 6102 |
| France | 4730 | 126683 |
| Germany | 8777 | 253990 |
| Greece | 0 | 0 |
| Hungary | 1 | 1 |
| Ireland | 3354 | 21365 |
| Italy | 2892 | 76279 |
| Latvia | 1 | 0 |
| Lithuania | 0 | 0 |
| Luxembourg | 0 | 0 |
| Malta | 1 | 0 |
| Netherlands | 3740 | 21083 |
| Poland | 2455 | 21293 |
| Portugal | 1192 | 5421 |
| Romania | 0 | 0 |
| Slovakia | 0 | 0 |
| Slovenia | 0 | 0 |
| Spain | 2935 | 19890 |
| Sweden | 3043 | 14931 |
| Iceland | 0 | 0 |
| Liechtenstein | 0 | 0 |
| Norway | 2484 | 12219 |
| Total EU | 39009 | 637717 |
| Total EEA | 41493 | 649936 |
| Total Global | 1139748 | 4877963 |
Empowering Researchers
Commitment 26
Relevant Signatories commit to provide access, wherever safe and practicable, to continuous, real-time or near real-time, searchable stable access to non-personal data and anonymised, aggregated, or manifestly-made public data for research purposes on Disinformation through automated means such as APIs or other open and accessible technical solutions allowing the analysis of said data.
We signed up to the following measures of this commitment
Measure 26.1 Measure 26.3
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 26.1
Relevant Signatories will provide public access to non-personal data and anonymised, aggregated or manifestly-made public data pertinent to undertaking research on Disinformation on their services, such as engagement and impressions (views) of content hosted by their services, with reasonable safeguards to address risks of abuse (e.g. API policies prohibiting malicious or commercial uses).
QRE 26.1.1
Relevant Signatories will describe the tools and processes in place to provide public access to non-personal data and anonymised, aggregated and manifestly-made public data pertinent to undertaking research on Disinformation, as well as the safeguards in place to address risks of abuse.
QRE 26.1.2
Relevant Signatories will publish information related to data points available via Measure 26.1, as well as details regarding the technical protocols to be used to access these data points, in the relevant help centre. This information should also be reachable from the Transparency Centre. At minimum, this information will include definitions of the data points available, technical and methodological information about how they were created, and information about the representativeness of the data.
SLI 26.1.1
Relevant Signatories will provide quantitative information on the uptake of the tools and processes described in Measure 26.1, such as number of users.
| Country | Nr of users of public access | Other quantitative information on public access |
|---|---|---|
| Austria | 0 | 0 |
| Belgium | 0 | 0 |
| Bulgaria | 0 | 0 |
| Croatia | 0 | 0 |
| Cyprus | 0 | 0 |
| Czech Republic | 0 | 0 |
| Denmark | 0 | 0 |
| Estonia | 0 | 0 |
| Finland | 0 | 0 |
| France | 0 | 0 |
| Germany | 0 | 0 |
| Greece | 0 | 0 |
| Hungary | 0 | 0 |
| Ireland | 0 | 0 |
| Italy | 0 | 0 |
| Latvia | 0 | 0 |
| Lithuania | 0 | 0 |
| Luxembourg | 0 | 0 |
| Malta | 0 | 0 |
| Netherlands | 0 | 0 |
| Poland | 0 | 0 |
| Portugal | 0 | 0 |
| Romania | 0 | 0 |
| Slovakia | 0 | 0 |
| Slovenia | 0 | 0 |
| Spain | 0 | 0 |
| Sweden | 0 | 0 |
| Iceland | 0 | 0 |
| Liechtenstein | 0 | 0 |
| Norway | 0 | 0 |
Measure 26.3
Relevant Signatories will implement procedures for reporting the malfunctioning of access systems and for restoring access and repairing faulty functionalities in a reasonable time.
QRE 26.3.1
Relevant Signatories will describe the reporting procedures in place to comply with Measure 26.3 and provide information about their malfunction response procedure, as well as about malfunctions that would have prevented the use of the systems described above during the reporting period and how long it took to remediate them.
For Bing API access, users can report issues at https://aka.ms/bingapisupport.
For Bing’s EU qualified researcher program, users can find information to report issues at Bing Qualified Researcher Program - Microsoft Support
Commitment 28
COOPERATION WITH RESEARCHERS Relevant Signatories commit to support good faith research into Disinformation that involves their services.
We signed up to the following measures of this commitment
Measure 28.2 Measure 28.3
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 28.2
Relevant Signatories will be transparent on the data types they currently make available to researchers across Europe.
QRE 28.2.1
Relevant Signatories will describe what data types European researchers can currently access via their APIs or via dedicated teams, tools, help centres, programs, or events.
Measure 28.3
Relevant Signatories will not prohibit or discourage genuinely and demonstratively public interest good faith research into Disinformation on their platforms, and will not take adversarial action against researcher users or accounts that undertake or participate in good-faith research into Disinformation.
QRE 28.3.1
Relevant Signatories will collaborate with EDMO to run an annual consultation of European researchers to assess whether they have experienced adversarial actions or are otherwise prohibited or discouraged to run such research.
Transparency Centre
Commitment 34
To ensure transparency and accountability around the implementation of this Code, Relevant Signatories commit to set up and maintain a publicly available common Transparency Centre website.
We signed up to the following measures of this commitment
Measure 34.1 Measure 34.2 Measure 34.3 Measure 34.4 Measure 34.5
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Commitment 35
Signatories commit to ensure that the Transparency Centre contains all the relevant information related to the implementation of the Code's Commitments and Measures and that this information is presented in an easy-to-understand manner, per service, and is easily searchable.
We signed up to the following measures of this commitment
Measure 35.1 Measure 35.2 Measure 35.3 Measure 35.4
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Permanent Task-Force
Commitment 37
Signatories commit to participate in the permanent Task-force. The Task-force includes the Signatories of the Code and representatives from EDMO and ERGA. It is chaired by the European Commission, and includes representatives of the European External Action Service (EEAS). The Task-force can also invite relevant experts as observers to support its work. Decisions of the Task-force are made by consensus.
We signed up to the following measures of this commitment
Measure 37.1 Measure 37.2 Measure 37.4 Measure 37.5 Measure 37.6
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 37.6
Signatories agree to notify the rest of the Task-force when a Commitment or Measure would benefit from changes over time as their practices and approaches evolve, in view of technological, societal, market, and legislative developments. Having discussed the changes required, the Relevant Signatories will update their subscription document accordingly and report on the changes in their next report.
QRE 37.6.1
Signatories will describe how they engage in the work of the Task-force in the reporting period, including the sub-groups they engaged with.
Monitoring of the Code
Commitment 38
The Signatories commit to dedicate adequate financial and human resources and put in place appropriate internal processes to ensure the implementation of their commitments under the Code.
We signed up to the following measures of this commitment
Measure 38.1
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Measure 38.1
Relevant Signatories will outline the teams and internal processes they have in place, per service, to comply with the Code in order to achieve full coverage across the Member States and the languages of the EU.
QRE 38.1.1
Relevant Signatories will outline the teams and internal processes they have in place, per service, to comply with the Code in order to achieve full coverage across the Member States and the languages of the EU.
Commitment 40
Signatories commit to provide regular reporting on Service Level Indicators (SLIs) and Qualitative Reporting Elements (QREs). The reports and data provided should allow for a thorough assessment of the extent of the implementation of the Code’s Commitments and Measures by each Signatory, service and at Member State level.
We signed up to the following measures of this commitment
Measure 40.1 Measure 40.3 Measure 40.4 Measure 40.5 Measure 40.6
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Commitment 42
Relevant Signatories commit to provide, in special situations like elections or crisis, upon request of the European Commission, proportionate and appropriate information and data, including ad-hoc specific reports and specific chapters within the regular monitoring, in accordance with the rapid response system established by the Task-force.
We signed up to the following measures of this commitment
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Commitment 43
Relevant Signatories commit to provide, in special situations like elections or crisis, upon request of the European Commission, proportionate and appropriate information and data, including ad-hoc specific reports and specific chapters within the regular monitoring, in accordance with the rapid response system established by the Taskforce.
We signed up to the following measures of this commitment
In line with this commitment, did you deploy new implementation measures (e.g. changes to your terms of service, new tools, new policies, etc)?
If yes, list these implementation measures here
Do you plan to put further implementation measures in place in the next 6 months to substantially improve the maturity of the implementation of this commitment?
If yes, which further implementation measures do you plan to put in place in the next 6 months?
Crisis and Elections Response
Elections 2025
[Note: Signatories are requested to provide information relevant to their particular response to the threats and challenges they observed on their service(s). They ensure that the information below provides an accurate and complete report of their relevant actions. As operational responses to crisis/election situations can vary from service to service, an absence of information should not be considered a priori a shortfall in the way a particular service has responded. Impact metrics are accurate to the best of signatories’ abilities to measure them].
Threats observed or anticipated
Bing anticipated instances of information manipulation with possible actor intent to manipulate search algorithms and lead users to data voids and low-authority content related to elections. As part of its regular information integrity operations, Bing detected no noteworthy election-specific information manipulation themes related to the:
- Portuguese presidential election.
- Slovenian parliamentary election.
- Danish general election
- Bulgarian parliamentary election
- Hungarian parliamentary election
- Cypriot parliamentary election
- Maltese general election
Mitigations in place
Policies and Terms and Conditions
Outline any changes to your policies
Policy - 50.1.1
Bing empowered voters with authoritative election information on Bing. We do this in partnership with organizations that provide information on authoritative sources, ensuring that queries about election administration will surface reputable sites
Microsoft-Report Election Misrepresentation is a webpage created to empower political candidates, campaigns and election authorities to report alleged deepfakes of themselves to Microsoft. To date, we have not received an actionable report of deceptive AI targeting elections on Microsoft platforms.
Rationale - 50.1.3
Scrutiny of Ads Placements
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Specific Action applied - 50.2.1
Description of intervention - 50.2.2
Indication of impact - 50.2.3
Political Advertising
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Specific Action applied - 50.3.1
Description of intervention - 50.3.2
Integrity of Services
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Specific Action applied - 50.4.1
Description of intervention - 50.4.2
Empowering Users
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Specific Action applied - 50.5.1
Description of intervention - 50.5.2
Empowering the Research Community
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Description of intervention - 50.6.2
Indication of impact - 50.6.3
Crisis 2025
[Note: Signatories are requested to provide information relevant to their particular response to the threats and challenges they observed on their service(s). They ensure that the information below provides an accurate and complete report of their relevant actions. As operational responses to crisis/election situations can vary from service to service, an absence of information should not be considered a priori a shortfall in the way a particular service has responded. Impact metrics are accurate to the best of signatories’ abilities to measure them].
Threats observed or anticipated
Bing has observed instances of information manipulation with possible actor intent to manipulate search algorithms and lead users to data voids and low-authority content related to the Russia<>Ukraine conflict. Trends include the spread of antisemitic conspiracy narratives, increasing use of AI-generated content, including targeting Ukrainian and European political leaders, and attempts to influence LLM outputs by seeding pro-Kremlin narratives across online sources. In parallel, extremist and fringe communities are leveraged to amplify pro-Kremlin narratives among Western audiences.
Israel – Hamas conflict
Bing has observed instances of data void manipulation to show low-authority content to unsuspecting users related to the Israel-Hamas conflict. This type of search algorithm manipulation could potentially be used as a tactic to spread disinformation. Other themes observed have included foreign influence operations speculating on the humanitarian crisis and scale of civilian causalities related to conflict and military operations in the area, often referring to manipulated videos and images circulating online and narratives on broader Middle East conflicts.
Mitigations in place
Microsoft has been actively involved in identifying and helping counter Russia’s cyber and influence operations aimed against Ukraine. In addition to supporting nonprofits, journalists, and academics within Ukraine, Microsoft’s Threat Analysis Center (MTAC) team closely tracks cyber-enabled influence operations. MTAC’s work includes analysing the ways these methods are leveraged to target audiences in Central and Eastern Europe.
Israel – Hamas conflict
As part of its regular practices, Bing employs (1) Defensive search interventions (2) regular direction of users to high authority, high quality sources as part of search algorithms; (3) remove auto suggest and related search terms considered likely to lead users to low authority content as part of moderation; (4) authority demotion of identified nation state affiliated information manipulation actor domains and (5) partnerships with independent organizations to maintain threat intelligence and inform potential algorithmic interventions. These measures are also integrated into Bing generative AI features, along with the additional safeguards discussed throughout this report.
Policies and Terms and Conditions
Outline any changes to your policies
Integrity of Services
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Description of intervention - 51.4.2
Empowering Users
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.
Description of intervention - 51.5.2
Bing has not introduced specific practices or policies related to this crisis, as it considers existing measures discussed throughout this report to sufficiently mitigate risks. However, Bing continues to monitor this crisis and may evolve its approach as needed. Nonetheless, articles from news and fact checking organizations may also appear as part of specialized Bing Answers.
Empowering the Research Community
Outline approaches pertinent to this chapter, highlighting similarities/commonalities and differences with regular enforcement.