First of all, before anything else congratulations to our... stars 🥰 What happened at Paris Fashion Week FW26 is HUGE, and there is nothing more to say except that we are incredibly proud. According to the SOV analysis from Onclusive, Lingling Kwong ranked #1 with 31.8% Share of Voice, and Orm Kornnaphat ranked #2 with 24.6% among 234 global celebrities tracked. "This means the two most talked-about personalities of the entire fashion week were both Thai actresses attending the Dior show" Even more importantly, the data shows something bigger: Their combined presence generated more than 56% of the celebrity conversation around Christian Dior. It is important to clarify something here: This result is based on SOV (Share of Voice) calculated by Onclusive. SOV is different from MIV and EMV, and it is also different from the SOV metrics used inside some MIV based reports. - SOV measures conversation dominance how much people talk about someone. - MIV/EMV measure the media value of exposure. So the methodology is not the same. And here We Go : 1) About the map shown in the article Under the visualization, the article clearly states: “The map of social media influence around the Dior brand: fan groups rallying around ambassadors, faces and attendees such as Lingling Kwong, Orm Kornnaphat, Jisoo (Blackpink), Anya Taylor-Joy, and Hyunjin (Stray Kids).” What does that mean? The map shows how fan communities and media conversations connected around Dior during Paris Fashion Week. Some accounts appear closer to Lingling Kwong or Orm Kornnaphat? yes and No ... The map is not centered on Lingling or Orm. It is centered on Dior. (Of course Dior isn’t connected to Lingling alone. You can clearly see that the Dior account is positioned around Lingling icon it's mean under Lingling kwong posts or under Dior Post fans position dior a more than under Orm posts and position lingling and dior more ) As for Tagtrend and LingormBh AND lingling Th or orm cn or orm th here they are not mean are around Lingling kwong or orm kornnaphat here they are around diorr !!!! Another proof , Under OrmKornnaphatCN, you can see something like: Influence degree: 456 This means that this account had 456 connection links in the conversation network around Dior during Paris Fashion Week FW26. These links can come from: people reposting its posts people mentioning that account the account mentioning others reply conversations posts being quoted or shared So the system detected 456 interaction connections linked to that account within the conversation network used in the analysis. This does not mean these interactions are about Orm alone. They are connections inside the discussion network related to Dior during Paris Fashion Week where Orm Kornnaphat appears in the conversation. It also does not mean that Orm CN or any other official fan page did not work hard. The map here is simply showing how conversations connect around Dior, not measuring how much each fanbase supports their star. The visualization is not centered on Lingling or Orm individually. It is centered on Dior, showing how different fan communities and media conversations interacted around the brand during Paris Fashion Week FW26. You can clearly see that even smaller accounts with relatively few followers appear in the map. Why? Because they replied, quoted, reposted, or participated in conversations related to Dior, which creates connections inside the network. OR even ch3 they only post one image saying congratulation for dior and lingorm The visualization simply shows how different communities amplified the Dior discussion through the celebrities attending the show 2) Now About hashtags and SOV The article clearly states: “Hashtags represent only a portion of the data used in calculating SOV.” It also explains that the top-25 hashtag chart shown in the article is only an extract from 281 hashtags analyzed during Paris Fashion Week. So hashtags are not the main calculation method for SOV. SOV is based on mentions across the entire media ecosystem. For example, imagine the system tracked 10,000 total celebrity mentions during Paris Fashion Week FW26. If Lingling Kwong was mentioned 3,180 times: 3180 ÷ 10000 × 100 = 31.8% SOV If Orm Kornnaphat was mentioned 2,460 times: 2460 ÷ 10000 × 100 = 24.6% SOV Mentions counted in SOV include: Social media posts X (Twitter) with full Firehose access ( Very Important) Instagram TikTok YouTube Reddit Weibo WeChat Naver Online forums and magazines blog posts captions and text mentions (not only hashtags) For example, all of these count as mentions: Post 1 #LinglingKwong at Dior FW26 Post 2 Orm kornnaphat at the Dior show today (no hashtag) Post 3 ( mentions) @ lingling kwong and @ ormkornnaphat looked stunning at Dior All three contribute to the conversation around Christian Dior at Paris Fashion Week. This is why the article states clearly that hashtags represent only part of the data used in calculating SOV. so if you use #diorxCelebrity or #celebrity is ranking under one SOV for this celebrity but in this article they are talking about brand x celebrity # and how much is important now to include celebrity name to make the brand more stronger ( this is the main idea ) The most important point Instead of worrying about differences between charts, we should step back and look at the bigger picture. Two Thai actresses attended one show at Paris Fashion Week and they became the two most talked-about celebrities of the entire event. That is extraordinary. And it proves something very clearly: The global fashion conversation now recognizes the power of Lingling Kwong and Orm Kornnaphat, and the incredible strength of their fan communities. 3) Now the focus moves to MIV We still have a few days, and now that these results are public, more media outlets and magazines will continue to write about them. So our focus now should be MIV, which measures the media impact value of posts and coverage. For MIV: Engagement under posts matters Likes and Comments are important interactions under magazine posts are important conversations across platforms contribute to impact. On X, hashtags help grouping and tracking. On Instagram and TikTok, keywords and names inside captions and comments are also very important. On weibo keyword are the most important So let’s work smart and strategically. Because this is only the beginning of proving to the world the power of our stars: Lingling Kwong and Orm Kornnaphat. ✨ LINGORM BA DIOR AT PFW26 #LingOrmDiorAW26 #หลิงออม #LingOrm #หลิงหลิงคอง #LinglingKwong #ออมกรณ์นภัส #OrmKornnaphat #DiorAW26 #DIORshow more
