{"id":87994,"date":"2026-08-03T14:48:05","date_gmt":"2026-08-03T11:48:05","guid":{"rendered":"https:\/\/twodots.gr\/?p=87994"},"modified":"2026-08-03T14:48:07","modified_gmt":"2026-08-03T11:48:07","slug":"businesses-affected-by-tech-and-tariffs","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/ai-epicheiriseis-epirrois-tech-and-tariffs\/","title":{"rendered":"AI and Influencer Marketing: What the \u00abTech and Tariffs\u00bb Campaign Reveals\u00bb"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>Short answer:<\/strong> The \u00abTech and Tariffs\u00bb campaign shows that AI can accelerate the production of political commentary and images, but it does not guarantee real influence. OpenAI classified the activity as Category One on the Breakout Scale: it was limited to X, with little or no observable interaction and no documented spread to another channel.<\/p>\n<p>For a brand, the key lesson is to distinguish between three different factors: how much content is produced, how well-coordinated the network distributing it is, and how many authentic users it influences. A sudden surge in mentions may require monitoring, but it does not, on its own, prove the existence of a single operator or widespread reach.<\/p>\n<p>This case directly concerns brand safety, social listening, and crisis communication. It complements the usual <a href=\"https:\/\/twodots.gr\/odigos-apotelesmatiki-diacheirisi-social-media-stratigikes-ergaleia\/\">Social media management for e-commerce<\/a> with one more check: not only what is being said about the company, but which accounts are repeating it, when, using what linguistic patterns, and whether the narrative is reaching a real audience.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#ti-itan-tech-and-tariffs\">What Was \u00abTech and Tariffs\u00bb?\u00bb<\/a><\/li>\n<li><a href=\"#pos-syndethikan-logariasmoi\">How the accounts were linked<\/a><\/li>\n<li><a href=\"#ai-paragogi-poliglossi-stochefsi\">AI-powered content creation and multilingual targeting<\/a><\/li>\n<li><a href=\"#parakolouthisi-oria-apokrisis\">The monitoring request and the response threshold<\/a><\/li>\n<li><a href=\"#diktio-psevdon-isxyrismon-x\">The network of false claims on X<\/a><\/li>\n<li><a href=\"#oria-apodosis-epikalypsis\">Overlaps and Performance Limits<\/a><\/li>\n<li><a href=\"#mikri-apichisi-stratigikos-kindynos\">Limited impact, real strategic risk<\/a><\/li>\n<li><a href=\"#spanies-gaies-company-targeting\">A Comparison with Rare Earth Elements<\/a><\/li>\n<li><a href=\"#giati-sygkyria-eiche-simasia\">Why the timing mattered<\/a><\/li>\n<li><a href=\"#mathimata-brand-safety-metrics\">What Brands and Marketing Teams Are Focusing On<\/a><\/li>\n<li><a href=\"#praktiko-plaisio-apokrisis\">Practical Response Framework<\/a><\/li>\n<li><a href=\"#symperasma-diadosi-paragogi\">Conclusion: Reach matters most<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"ti-itan-tech-and-tariffs\">What Was \u00abTech and Tariffs\u00bb?\u00bb<\/h2>\n<p>On June 1, 2026, OpenAI published the \u00abTech and Tariffs\u00bb case study. According to the company, the cluster included ChatGPT accounts that likely originated in China. Users provided prompts in Simplified Chinese and used VPNs to access the platform. They requested brief comments in English and political cartoons about U.S. technology policy, tariffs and trade restrictions, as well as help with editing job applications or support in designing social media monitoring systems.<\/p>\n<p>The attribution was not presented as an absolute certainty. OpenAI used probabilistic language and stated that it was unable to precisely determine the institutional relationship between the operators. This is a crucial standard for any professional report: observable data is one thing, the assessment derived from them is another, and a definitive assertion of identity is yet another.<\/p>\n<div class=\"td-article-note\">\n<p><strong>A crucial distinction:<\/strong> The presence of repetitive posts or low-quality accounts is a red flag that warrants further investigation. Attributing the activity to a specific entity requires separate and stronger evidence than that needed to establish coordinated behavior.<\/p>\n<\/div>\n<h2 id=\"pos-syndethikan-logariasmoi\">How the accounts were linked<\/h2>\n<p>The prompts contained recurring terminology that, according to the report, is consistent with individuals associated with the Chinese public security system. The requests concerned public opinion risk assessments for protests, incidents of school bullying, crowd movements in Shanghai, police-related incidents, citizen reports, and traffic enforcement.<\/p>\n<p>One user described the social media accounts he managed as a \u00abwater army,\u00bb a term used to describe coordinated accounts that flood platforms with criticism or trolling. He also requested content that would benefit the People\u2019s Republic of China or promote pro-China narratives. OpenAI assessed that the totality of the evidence pointed to activity aligned with the interests of the Chinese Communist Party, without claiming to know the exact entity behind it.<\/p>\n<h2 id=\"ai-paragogi-poliglossi-stochefsi\">AI-powered content creation and multilingual targeting<\/h2>\n<p>The most prominent theme was the technological competition between the U.S. and China. The panelists framed the discussion around tariffs, rare earth elements, artificial intelligence, 5G, new energy, and industrial resilience. They argued that the U.S. was seeking technological dominance and the power to set the rules.<\/p>\n<p>The instructions given to the model were specific and carefully crafted. The cartoons were to depict only President Trump, with no images of China or Xi Jinping. Generative AI did not determine the message on its own: operators selected the target, visual context, exclusions, and political orientation, while the model functioned as a production tool.<\/p>\n<p>Their activity was not limited to English. The accounts requested content in Italian, Japanese, and Traditional Chinese, also targeting an audience in Taiwan. At the same time, they produced large batches of short Chinese-language comments and articles on various topics, with the aim of favoring China, attacking the U.S. and Israel, harassing Chinese dissidents, and, in some cases, reinforcing anti-Semitic stereotypes.<\/p>\n<p>The requests often specified quantities, short character limits, and a conversational tone. Evidence of a coordinated campaign can be found not only in the content, but also in the repetitive production format, the timing, the linguistic adaptation, and the unusually uniform behavior of many accounts. The same need for rules, inventory, and monitoring exists when a company organizes its own <a href=\"https:\/\/twodots.gr\/ta-kalytera-ergaleia-diacheirisis-asfaleias-me-techniti-noimosyni\/\">AI Security Posture<\/a>, so that productivity does not become a new risk.<\/p>\n<h2 id=\"parakolouthisi-oria-apokrisis\">The monitoring request and the response threshold<\/h2>\n<p>The operators also requested a proposal for an AI system that would monitor online public opinion. According to their description, the system would need to automatically collect information identifying \u00abharmful\u00bb content posted by \u00abkey figures\u00bb on social media, keep records, download videos for large-scale semantic analysis, and send risk alerts.<\/p>\n<p>OpenAI reports that the model generated a general response of approximately 500 words with advice on data storage and management, but did not provide any ideas on collecting data for surveillance purposes. The source describes this specific response in this specific case; it does not constitute a general guarantee that every abusive request will always be handled in the same way.<\/p>\n<h2 id=\"diktio-psevdon-isxyrismon-x\">The network of false claims on X<\/h2>\n<p>At the same time, OpenAI identified a network on X that was spreading false claims that ChatGPT user data had been compromised. Based on behavioral indicators from open sources, it assessed that this was likely part of the same broader network linked to the \u00abTech and Tariffs\u00bb operation.<\/p>\n<p>The correlation was based on repeated interactions and reinforcements. A post about alleged hacking of mobile networks by U.S. intelligence agencies, which had been created by an account in the cluster, was reposted by potentially inauthentic accounts in the \u00abChatGPT compromise\u00bb cluster. In another instance, accounts from both clusters quote-tweeted the same post from an unrelated, verified account within a few hours.<\/p>\n<p>The accounts were created in late 2025, had few or no followers, and had made very few posts during the campaign period. OpenAI noted that they appear to have been suspended by X regardless of its own assessment. These observations do not, on their own, prove common control, but together they form a pattern of coordinated activity.<\/p>\n<h2 id=\"oria-apodosis-epikalypsis\">Overlaps and Performance Limits<\/h2>\n<p>There was an overlap in content with previously documented influence operations of possible Chinese origin. An account that had posted a cartoon of Trump created with ChatGPT also posted images of Philippine President Ferdinand Marcos, which had appeared on inauthentic accounts linked to the \u00abNine-emdash Line\u00bb operation.<\/p>\n<p>The source emphasizes that this overlap is not enough to prove a definitive link between the two companies. It merely reinforces the picture of a broader network of accounts on X promoted by Chinese influence operations. For brands and analysts, the similarity in content is a red flag warranting further investigation, not automatic proof of shared management.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">Four levels of data that should not be confused<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--two\">\n<div class=\"td-platform-card\">\n<h3>Content Similarity<\/h3>\n<p>Recurring phrasing, identical themes, and similar images indicate what is worth investigating, but they do not prove the existence of a common operator.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Content<\/span><span class=\"td-badge\">Original signal<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<h3>Behavioral Coordination<\/h3>\n<p>Common timestamps, sequential reposts, and mutual promotion among small accounts paint a stronger picture of organized distribution.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Network<\/span><span class=\"td-badge\">Pattern<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<h3>Actual prevalence<\/h3>\n<p>The transition to authentic, high-reach accounts or other platforms indicates whether the narrative has gained a substantial audience.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Reach<\/span><span class=\"td-badge\">Breakout<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<h3>Carrier Performance<\/h3>\n<p>A link to a specific organization requires additional technical, behavioral, and informational evidence and must be established with a clear degree of certainty.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Attribution<\/span><span class=\"td-badge\">Certainty<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"mikri-apichisi-stratigikos-kindynos\">Limited impact, real strategic risk<\/h2>\n<p>Based on the Breakout Scale, OpenAI classified the activity as Category One: it was confined to a single platform, and there were no indications that it had spread beyond it. Most posts had little or no noticeable engagement. No evidence was found that the false claims of a data breach were amplified by authentic accounts with a large reach or beyond X.<\/p>\n<p>This does not mean that the activity was insignificant. It means that the measured impact remained low, while the intent, infrastructure, and choice of target provide cause for vigilance. A private company in a strategically important sector may become the target of narratives that seek to undermine its credibility, even when the initial execution of the campaign fails to gain organic traction.<\/p>\n<h2 id=\"spanies-gaies-company-targeting\">A Comparison with Rare Earth Elements<\/h2>\n<p>OpenAI compared the pattern to earlier operations of possible Chinese origin that had been described by the Australian Strategic Policy Institute and Mandiant. In 2022, the Spamouflage\/DRAGONBRIDGE network used inauthentic accounts to smear Lynas Rare Earths regarding a planned processing plant in Texas. Later, Appia Rare Earths &amp; Uranium in Canada and USA Rare Earth in the U.S. were targeted following announcements of new production capacity in North America.<\/p>\n<p>According to the assessments cited by the source, that activity was intended to damage the reputation of competitors to China\u2019s dominance in the rare earths market. OpenAI believes that in this case, similar tactics were employed against its own reputation, but without success. The comparison serves as an analytical framework and does not constitute proof that the same entities carried out all of the operations.<\/p>\n<h2 id=\"giati-sygkyria-eiche-simasia\">Why the timing mattered<\/h2>\n<p>The campaign coincided with a sharp escalation in U.S.-China economic and technological competition, when President Trump announced an additional 100% tariff on Chinese products. It also followed the Fourth Plenary Session of the CPC, where proposals for the 15th Five-Year Plan were adopted that designated AI as a strategic technology and an industrial priority, accelerating innovation and launching the national \u00abAI+\u00bb initiative.<\/p>\n<p>OpenAI draws a parallel between this strategic focus and the 14th Five-Year Plan of 2021, which treated strategic mineral resources as a security issue and identified advanced rare-earth functional materials as a key priority. In both cases, inauthentic accounts targeted private companies in democracies that operate in sectors critical to China\u2019s national development and security.<\/p>\n<h2 id=\"mathimata-brand-safety-metrics\">What Brands and Marketing Teams Are Focusing On<\/h2>\n<p>The first practical implication is that reputation is not protected solely by monitoring keywords. Teams need insight into behavioral patterns: accounts created during the same period, repetitive phrasing, unusually synchronized reposts, small networks that reinforce one another, and content adapted into multiple languages. These are red flags to investigate, not automatic proof of malicious activity.<\/p>\n<p>The second implication concerns metrics. High output does not equal high influence. Here, the source describes massive production of comments and images, but low observable engagement and no documented reach beyond a single platform. A dashboard that measures only the volume of mentions may overestimate the actual impact, while a dashboard that looks only at engagement may overlook the organized infrastructure behind an emerging threat.<\/p>\n<p>The third implication is the need for disciplined crisis communication. When a false claim of a data breach arises, the company must distinguish between what it has confirmed and what it assesses as a possible smear campaign. A swift rebuttal requires evidence, clear communication with customers, and monitoring to see if the narrative is spreading to authentic, high-reach accounts or other platforms.<\/p>\n<p>This distinction must be viewed within a broader <a href=\"https:\/\/twodots.gr\/stratigiki-marketingk-pliris-odigos-gia-viosimi-anaptyxi\/\">marketing strategy with measurable goals<\/a> and in clear <a href=\"https:\/\/twodots.gr\/ti-einai-ta-brand-guidelines-o-pliris-odigos\/\">brand guidelines<\/a>. The team needs a predefined approach, a decision-maker, and escalation criteria before the problem arises\u2014not after the pressure has already been passed on to customers and partners.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-label\">The Communication Decision<\/p>\n<p><strong>Don't declare an \u00aborganized attack\u00bb based solely on a spike in reports.<\/strong><\/p>\n<p>First, verify the claim, preserve the original evidence, assess the level of coordination, and check whether the narrative is being shared on authentic accounts or new channels. The public response should be proportionate to the available evidence and the actual impact.<\/p>\n<\/div>\n<h2 id=\"praktiko-plaisio-apokrisis\">Practical Response Framework<\/h2>\n<p>\u00abTech and Tariffs\u00bb is not a ready-made playbook for every crisis. However, it provides a useful framework for marketing, e-commerce, and corporate communications teams that need to manage a suspicious wave of comments without underestimating or overestimating the risk.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">From the First False Claim to a Well-Documented Response<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>Keep the source data<\/strong>\n<p>Record the original posts, URLs, timestamps, screenshots, and interactions before the accounts are deleted or modified.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>Check the accuracy of the claim separately<\/strong>\n<p>Confirm what happened on your own systems and what information you can make public. Refuting the claim does not require that it has already been proven who started it.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>Map the network's behavior<\/strong>\n<p>Identify which accounts are creating content, which are reposting, and which are sharing the story with a new audience. Look for timing patterns, recurring phrases, and multilingual variations.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>Measure the actual reach<\/strong>\n<p>Track authentic, high-reach accounts, new channels, branded search, support requests, and changes in customer behavior\u2014not just the raw number of mentions.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>Adjust accordingly based on the receipt<\/strong>\n<p>Choose between a limited correction, a customer notification, a public statement, or legal and platform-level escalation based on accuracy, scope, and operational risk.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>Monitoring must be linked to a specific owner, time limits, and an approval channel. Without these, a dashboard generates alerts but not decisions. With these elements in place, the team can protect its reputation without inadvertently reinforcing a narrative that hasn\u2019t actually gained traction.<\/p>\n<h2 id=\"symperasma-diadosi-paragogi\">Conclusion: Reach matters most<\/h2>\n<p>The key lesson is twofold. On the one hand, artificial intelligence reduces the cost and time required to produce commentary, images, and variations on a narrative. On the other hand, it does not guarantee impact. This particular company produced content across many topics and languages, but remained in Category One of the Breakout Scale, with no documented breakout.<\/p>\n<p>For a business, a mature approach is neither complacency nor panic. It involves continuous monitoring, data-driven performance, distinguishing intent from impact, and a plan to address false claims. The better a brand understands network behavior and the path of virality, the harder it becomes for an artificially inflated narrative to be presented as authentic public opinion.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">Digital Marketing &amp; SEO by TWO DOTS<\/p>\n<p class=\"td-service-cta-title\">Identify early on what really influences your brand.<\/p>\n<p>TWO DOTS integrates social media strategy, content, analytics, and response planning so your team can distinguish between a noisy spike and a threat that reaches a real audience.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/digital-marketing-seo\/\">Discuss your Digital Marketing &amp; SEO strategy<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">What was the \u00abTech and Tariffs\u00bb campaign?;<\/summary>\n<div class=\"td-faq-content\">\n<p>It was a cluster of ChatGPT accounts that, according to OpenAI, most likely originated in China and used AI to generate commentary and political cartoons related to U.S. technology policy, tariffs, and trade.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">Was it determined exactly who was managing the accounts?;<\/summary>\n<div class=\"td-faq-content\">\n<p>No. OpenAI assessed that the activity was aligned with the interests of the CCP, but stated that it was unable to determine the exact institutional affiliation of the operators.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">Did the operation have a significant impact?;<\/summary>\n<div class=\"td-faq-content\">\n<p>The observable reach was low. Most posts had little or no engagement, and there was no evidence of the content spreading beyond X or through authentic, high-reach accounts.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">How was AI used in the campaign?;<\/summary>\n<div class=\"td-faq-content\">\n<p>It was used for short comments, political cartoons, multilingual content, report processing, and a general data management concept for a public discourse monitoring system.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">Did the model provide instructions for collecting surveillance data?;<\/summary>\n<div class=\"td-faq-content\">\n<p>In this specific case, OpenAI states that the response was limited to general advice on data storage and management and did not suggest ways to collect data for surveillance purposes.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">What signs indicate possible coordination among accounts?;<\/summary>\n<div class=\"td-faq-content\">\n<p>Time-synchronized reposts, repetitive phrases, accounts created on similar dates, mutual promotion among small profiles, and identical multilingual variations are red flags that warrant investigation, but not automatic proof of shared management.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">What metrics does a brand need to track?;<\/summary>\n<div class=\"td-faq-content\">\n<p>It needs to distinguish between the volume of mentions, network coordination, and actual reach: authentic, high-reach accounts, new channels, branded search, support requests, and changes in customer behavior.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">What is the first step to take when a false claim arises?;<\/summary>\n<div class=\"td-faq-content\">\n<p>Retain the source data and verify the accuracy of the claim in the company\u2019s systems. The public response must be based on verified facts, the actual scope of the issue, and a clearly identified decision-maker.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/openai.com\/index\/disrupting-malicious-uses-of-ai-tech-and-tariffs\/\" target=\"_blank\" rel=\"noopener\">OpenAI: \u00abTech and Tariffs\u00bb Campaign \u2014 influence activity targeting U.S. tech policy<\/a><\/li>\n<li><a href=\"https:\/\/www.aspistrategist.org.au\/the-ccps-information-campaign-targeting-rare-earths-and-australian-company-lynas\/\" target=\"_blank\" rel=\"noopener\">ASPI: The influence-trading firm that targeted Lynas Rare Earths<\/a><\/li>\n<li><a href=\"https:\/\/cloud.google.com\/blog\/topics\/threat-intelligence\/dragonbridge-targets-rare-earths-mining-companies\" target=\"_blank\" rel=\"noopener\">Mandiant: DRAGONBRIDGE and the Targeting of Rare Earth Companies<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Tech and Tariffs shows how AI, inauthentic accounts, and social media monitoring are changing brand safety, metrics, and crisis management.<\/p>","protected":false},"author":1,"featured_media":88101,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[19055,19056,3821,19054,3597],"class_list":["post-87994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-brand-safety","tag-social-media-monitoring","tag-diacheirisi-fimis","tag-parapliroforisi","tag-techniti-noimosyni"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/87994","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=87994"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/87994\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/88101"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=87994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=87994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=87994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}