{"id":274761,"date":"2026-11-03T12:24:55","date_gmt":"2026-11-03T20:24:55","guid":{"rendered":"https:\/\/siliconeer.com\/current\/?p=274761"},"modified":"2026-11-03T12:24:55","modified_gmt":"2026-11-03T20:24:55","slug":"election-disinformation-immigrant-fear-ai","status":"publish","type":"post","link":"https:\/\/siliconeer.com\/current\/election-disinformation-immigrant-fear-ai\/","title":{"rendered":"Election Disinformation Targets Immigrant Voters Through Fear, AI and Trusted Networks"},"content":{"rendered":"

Election misinformation is moving faster, looking more convincing and increasingly reaching voters through the very networks they trust most. Immigrant communities face particular vulnerabilities as misleading claims about citizenship, immigration enforcement and voting rules intersect with language gaps and fears of government scrutiny.\u00a0<\/span><\/p>\n

Artificial intelligence has added another complication, making manipulated images and videos easier to create while also giving voters a new source of election information that can itself produce inaccurate answers. The challenge for journalists and community organizations is no longer simply identifying a false claim, but reaching voters with reliable information before misleading narratives shape their behavior.<\/p>\n

In a media briefing on October 23 hosted by American Community Media<\/a>, a panel of experts discussed election disinformation in immigrant communities, including false claims circulating through social media, fears involving immigration enforcement, AI-generated political content and inaccurate election information produced by chatbots.<\/p>\n

The discussion highlighted how misleading information can migrate between English-language political discourse and immigrant-language platforms, often changing along the way. It also underscored the growing importance of ethnic media, community organizations and trusted local messengers in helping voters distinguish verified information from rumors designed to provoke fear or confusion.<\/p>\n

Speakers:<\/h3>\n

\"\"<\/p>\n

\u2022 Cameron Hickey<\/b>, CEO, National Conference on Citizenship
\n\u2022 Jinxia Niu<\/b>, Chinese Digital Engagement Project, Chinese for Affirmative Action
\n\u2022 Laura Zommer<\/b>, Co-founder and CEO, Factchequeado<\/p>\n

\n

Misinformation is old, but its speed is new<\/h3>\n

Cameron Hickey said misinformation itself is not a new phenomenon. Rumors, exaggerations and lies have always circulated.<\/p>\n

What has changed is the speed and scale of distribution.<\/p>\n

\u201cA claim that once might’ve taken weeks to travel across by word of mouth now is instantly available to us,\u201d Hickey said.<\/p>\n

Social media has accelerated that process, while generative AI makes it possible to produce convincing images, videos and narratives quickly and cheaply.<\/p>\n

Hickey distinguished between misinformation, which may be false without necessarily being shared maliciously, and disinformation, which is intentionally created to deceive. He also pointed to conspiracy theories, manipulated context, misleading framing and hate speech as different components of the same information environment.<\/p>\n

For voters, however, he said the distinction in intent may matter less than the outcome.<\/p>\n

\u201cRumors spread online and offline, both intentionally and unintentionally, the results are the same,\u201d Hickey said. \u201cPeople are scared to vote, people are scared to participate, people make decisions that are different based on that misinformation.\u201d<\/p>\n

The economics of social media help drive the problem.<\/p>\n

Platforms reward attention, and content that creates anger or fear often attracts more engagement. People are also more likely to trust information that reinforces something they already believe.<\/p>\n

That combination can allow misleading claims to spread before corrections have a chance to catch up.<\/p>\n

A simple way to slow down false claims<\/h3>\n

Hickey recommended a four-step information-literacy method known as SIFT.<\/p>\n

The first step is to stop before reacting to a claim. The second is to investigate its source. Third, people should find better coverage or independent confirmation. Finally, they should trace the claim back to its original source whenever possible.<\/p>\n

\u201cPause before you engage with anything,\u201d Hickey said.<\/p>\n

The process becomes more complicated when artificial intelligence is involved.<\/p>\n

People increasingly ask AI systems to verify information, but Hickey cautioned that chatbots do not necessarily distinguish reliable sources from unreliable ones better than humans.<\/p>\n

That means the same verification principles apply even when AI is being used as a search intermediary.<\/p>\n

Journalists confronting suspicious images or videos should also look for the original source, compare reporting from multiple outlets and use tools such as reverse-image searches to determine whether media have been altered, taken out of context or recycled from an older event.<\/p>\n

Fear of immigration enforcement enters election narratives<\/h3>\n

One of the most consequential themes involves claims about federal immigration agents and polling locations.<\/p>\n

Hickey said AI-generated images have circulated purporting to show immigration officers intimidating voters. Some depict events that did not occur, but can still influence people who see them.<\/p>\n

At the same time, real concerns about immigration enforcement can make those fabricated images more believable.<\/p>\n

That combination can produce a chilling effect even among people who are legally eligible to vote.<\/p>\n

Hickey said misinformation about noncitizen voting has become similarly important.<\/p>\n

Claims suggesting large numbers of noncitizens are casting ballots have circulated widely, while citizenship-verification systems can themselves create confusion when records are incomplete or outdated.<\/p>\n

\u201cThe outcome is what we really care about,\u201d Hickey said.<\/p>\n

For immigrant voters, a rumor does not need to be technically sophisticated to matter. If it persuades an eligible citizen that voting could expose them or their family to immigration scrutiny, it can affect participation.<\/p>\n

Chinese-language misinformation moves across platforms<\/h3>\n

Jinxia Niu said election misinformation within Chinese-speaking communities increasingly moves between platforms and languages.<\/p>\n

Her work with Chinese for Affirmative Action has tracked hundreds of misleading claims over several years.<\/p>\n

In previous election cycles, WeChat was a major center of political misinformation. Niu said X has become increasingly important, particularly for right-wing Chinese-language political content.<\/p>\n

\u201cWeChat is still very important because this information usually starts with X, but then it got translated and circled also in WeChat groups and YouTube,\u201d she said.<\/p>\n

Much of the content originates in English-language political discourse and is then translated into Chinese.<\/p>\n

But translation is not always neutral.<\/p>\n

Claims may be altered, intensified or combined with narratives already familiar to Chinese-speaking audiences.<\/p>\n

Niu said one recurring example involves allegations of Chinese interference in U.S. elections. When claims circulate in English and are quickly challenged by mainstream outlets, Chinese-language influencers may reinterpret the lack of coverage as evidence of a cover-up.<\/p>\n

Language gaps can then become part of the disinformation itself.<\/p>\n

Voter ID claims exploit cultural differences<\/h3>\n

Another recurring theme involves identification requirements.<\/p>\n

Niu said some Chinese immigrants come from political systems where presenting identification for government services and voting is routine. That can make U.S. election rules appear confusing or suspicious.<\/p>\n

\u201cIn China, you have to show ID for everything,\u201d she said.<\/p>\n

False claims can exploit that difference by suggesting that if every voter is not required to present the same form of identification, then anyone can vote.<\/p>\n

Niu said responding effectively requires more than simply labeling such claims false.<\/p>\n

Journalists and community organizations must explain why U.S. voting systems differ by state, how voter eligibility is verified and why the absence of a single national identification system does not mean there are no safeguards.<\/p>\n

Those explanations become especially important when misinformation about noncitizen voting intersects with fears surrounding immigration enforcement.<\/p>\n

Niu said some eligible naturalized citizens have questioned whether they could be mistakenly treated as noncitizens.<\/p>\n

The fear itself can discourage participation.<\/p>\n

Artificial intelligence widens the language gap<\/h3>\n

Both Chinese- and Spanish-language specialists raised concerns about AI chatbots.<\/p>\n

Niu said users asking election questions in Chinese can receive significantly different source material than someone asking the same question in English.<\/p>\n

In some cases, she said, AI systems prominently surface Chinese-language outlets that have previously circulated misleading political content.<\/p>\n

\u201cIf you just read Chinese, very often, I find, oh my God, how come in Gemini or chatbot, because I know community members right now just directly using ChatGPT instead of reading news,\u201d Niu said.<\/p>\n

That raises a broader accountability question: which sources AI systems choose to elevate, particularly in languages with smaller pools of high-quality digital journalism.<\/p>\n

Spanish-language chatbots can produce different answers<\/p>\n

Laura Zommer said Factchequeado has observed similar concerns among Spanish-speaking communities.<\/p>\n

The organization focuses on misinformation affecting Latinos in the United States and works with media and community organizations across the country.<\/p>\n

Zommer said AI-generated political videos have become considerably more common than during the 2024 election.<\/p>\n

But the problem is not limited to fabricated media.<\/p>\n

More voters are also asking chatbots directly for election information.<\/p>\n

Zommer cited research testing major AI systems with the same election questions in English and Spanish. The Spanish-language answers were more likely to be incomplete, outdated or incorrect.<\/p>\n

One example was especially basic.<\/p>\n

A chatbot twice gave the wrong date for the U.S. midterm election when asked in Spanish.<\/p>\n

\u201cI’m not talking about complex things,\u201d Zommer said. \u201cI’m just talking about, in some cases, basic, basic information.\u201d<\/p>\n

Spanish-language responses also tended to cite fewer sources.<\/p>\n

For journalists, Zommer said that matters because source quality heavily influences the reliability of an answer.<\/p>\n

AI-generated political advertising raises transparency concerns<\/h3>\n

Zommer also pointed to the expanding use of AI in campaign advertising.<\/p>\n

AI-generated political content can now replicate voices, faces and realistic scenes with increasingly little indication that the material has been altered.<\/p>\n

Disclosure requirements vary by state, and voters may not always know when what they are seeing was produced artificially.<\/p>\n

That creates a particular challenge during casual social media use, when people may encounter political content without stopping to investigate its origin.<\/p>\n

Zommer said people across age groups can be vulnerable, although the vulnerabilities differ.<\/p>\n

Younger users may better recognize filters or platform conventions but often consume information quickly and without context. Older users may have more difficulty identifying fabricated AI content.<\/p>\n

Jinxia Niu said her work has found older immigrant users particularly vulnerable.<\/p>\n

\u201cWe have lots of community members,\u201d she said. \u201cThey have all the PhDs from tech, from mathematics, physics, and they still believe in this disinformation because they have zero training on that.\u201d<\/p>\n

Education level alone, she said, should not be treated as a substitute for media literacy.<\/p>\n

Trusted messengers remain the strongest defense<\/h3>\n

When misinformation relies on fear, traditional fact-checking alone may not be enough.<\/p>\n

Niu said corrections are often more effective when they come through people audiences already know.<\/p>\n

\u201cThe trusted messengers usually start with community leaders,\u201d she said, \u201cor even sometimes your friends and family members.\u201d<\/p>\n

That is particularly important in closed communication environments such as WhatsApp or WeChat groups, where a rumor may be shared by a relative or community member rather than a stranger.<\/p>\n

Zommer said people may not always change their underlying beliefs after seeing a correction, but they can change what they do with the information.<\/p>\n

\u201cNo one wants others to manipulate them,\u201d she said.<\/p>\n

That means reporters can focus not only on whether a claim is true or false, but on explaining how and why it is being used.<\/p>\n

Journalists as part of the information infrastructure<\/h3>\n

The speakers repeatedly emphasized the role of local and ethnic media in filling information gaps.<\/p>\n

If voters increasingly ask AI systems election questions, Hickey said journalists should publish clear, accessible reporting that directly answers those questions.<\/p>\n

AI systems need sources.<\/p>\n

When quality local reporting is available, it has a greater chance of becoming part of the information voters encounter through search engines, chatbots and community networks.<\/p>\n

That makes basic service journalism \u2014 where to vote, when to vote, what identification is required and what rights voters have \u2014 increasingly important.<\/p>\n

The stakes extend beyond Election Day.<\/p>\n

False claims about voting machines, ballot counting and election fraud can continue circulating while results are being tabulated.<\/p>\n

For immigrant communities already navigating language barriers and fear surrounding enforcement, credible information may therefore be as important after polls close as it is before they open.<\/p>\n

The central challenge is not simply determining who produces the last word in an online argument.<\/p>\n

It is ensuring that reliable information reaches voters before fear, mistrust or manipulation makes the decision for them.<\/p>\n

 <\/p>\n

All images courtesy of American Community Media\u00a0<\/span><\/i><\/p>\n","protected":false},"excerpt":{"rendered":"

Election misinformation is moving faster, looking more convincing and increasingly reaching voters through the very networks they trust most. Immigrant communities face particular vulnerabilities as misleading claims about citizenship, immigration enforcement and voting rules intersect with language gaps and fears of government scrutiny.\u00a0 Artificial intelligence has added another complication, making manipulated images and videos easier…<\/p>\n

Read More<\/a><\/div>\n","protected":false},"author":24,"featured_media":274762,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[65024,275,5],"tags":[1386,64640,3275,65788,64639,65542,52381,50471,65790,65793,65795,62763,65741,65786,65789,65703,15449,59294,65771,63894,65791,65796,65787,52382,65794,65792,65519,65774,65684,46647],"class_list":["post-274761","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-we-here","category-community","category-current-affairs","tag-whatsapp","tag-acom","tag-ai","tag-ailiteracy","tag-american-community-media","tag-artificialintelligence","tag-cameron-hickey","tag-chinese-for-affirmative-action","tag-chineseamericanvoters","tag-chineselanguagemedia","tag-communitymedia","tag-deepfakes","tag-election2026","tag-electiondisinformation","tag-electionintegrity","tag-electionmisinformation","tag-factchecking","tag-factchequeado","tag-immigrantvoters","tag-jinxia-niu","tag-latinovoters","tag-laura-zommer","tag-medialiteracy","tag-national-conference-on-citizenship","tag-socialmedia","tag-spanishlanguagemedia","tag-trustedmessengers","tag-votereducation","tag-votingrights","tag-wechat"],"acf":[],"_links":{"self":[{"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/posts\/274761","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/comments?post=274761"}],"version-history":[{"count":2,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/posts\/274761\/revisions"}],"predecessor-version":[{"id":274765,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/posts\/274761\/revisions\/274765"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/media\/274762"}],"wp:attachment":[{"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/media?parent=274761"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/categories?post=274761"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/siliconeer.com\/current\/wp-json\/wp\/v2\/tags?post=274761"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}