2025³â 08¿ù 23ÀÏ Åä¿äÀÏ
 
 
  ÇöÀçÀ§Ä¡ > ´º½ºÁö´åÄÄ > Science & Technology

·£¼¶¿þ¾îºÎÅÍ µÅÁöµµ»ì±îÁö... ³ë·ÃÇØÁø »ç±âÇà°¢

 

Á¤Ä¡

 

°æÁ¦

 

»çȸ

 

»ýȰ

 

¹®È­

 

±¹Á¦

 

°úÇбâ¼ú

 

¿¬¿¹

 

½ºÆ÷Ã÷

 

ÀÚµ¿Â÷

 

ºÎµ¿»ê

 

°æ¿µ

 

¿µ¾÷

 

¹Ìµð¾î

 

½Å»óǰ

 

±³À°

 

ÇÐȸ

 

½Å°£

 

°øÁö»çÇ×

 

Ä®·³

 

Ä·ÆäÀÎ
Çѻ츲 ¡®¿ì¸®´Â ÇѽҸ²¡¯ ½Ò ¼Òºñ Ä·ÆäÀÎ ½Ã...
1000¸¸¿øÂ¥¸® Àΰø¿Í¿ì, °Ç°­º¸Çè Áö¿ø ¡®Æò...
- - - - - - -
 

Utopia AI Determines Amounts of Hate Speech on Different Social Platforms

´º½ºÀÏÀÚ: 2021-04-23

HELSINKI-- April 23, 2021 -- Online hate speech shows up most often on discussion forums, according to a Utopia Analytics study for the Ministry of Justice in Finland. The report found that discussion forums are home to 97% of identified hate speech messages. The next largest platform types are Twitter messages at 2.5% and Instagram messages at 0.2%. Blogs, news comments and public Facebook messages make up less than 0.02% of all identified hate speech. The data set didn’t include private discussions, for example Facebook groups or accounts.

The project, part of the Facts Against Hate program by Ministry of Justice, tested the ability of artificial intelligence to recognize hate speech in online environments. The approach combined human evaluation with machine learning. A key goal was to find the main channels of hate speech, and to identify differences in hate speech from platform to platform.

The definition of hate speech was based on academic research in the social sciences. The definition was done by producing hate speech categories, and then used to manually identify examples of hate speech in a data set of online messages. These annotations were then used as training data for Utopia AI Moderator, a language-independent tool that utilizes text analytics and machine learning. The data set was 12 million Finnish comments and posts from September to October 2020.

The results show that about 150 000 messages that contain hate speech appear on publicly available Finnish social media platforms every month. That’s about 1.8% of all messages.

Among the public international social media platforms, Twitter seems the most prominent, with 7 450 messages identified as hate speech, or 0.14% of all tweets. Retweets play a significant role in circulating these messages: 39% of all hate-speech tweets are duplicates.

“While the data set consisted of mostly Finnish messages,” says Utopia’s CEO Dr. Mari-Sanna Paukkeri, “the results would be very similar in other languages . For example, the major platform for Finnish hate speech, Ylilauta, is a peer to the commonly known 4chan. Moreover, we can build a similar AI model to identify hate speech in any language in only two weeks. We only need a skilled individual to say how hate speech should be defined in your culture and language and we need the data to analyse.”



 Àüü´º½º¸ñ·ÏÀ¸·Î

HistoSonics Broadens Coverage of Non-Invasive Liver Tumor Therapy to 7 Million Highmark Blue Cross Members
Uptime Survey Reveals AI Ambitions and Challenges Amid Climate and NVIDIA Shifts
Kioxia Sampling UFS Ver. 4.1 Embedded Flash Memory Devices for Automotive Applications
Toshiba Unveils Lens-Reduction CCD Linear Image Sensor with Low Noise to Enhance A3 Multifunction Printer Image Quality
** Chokwang Paint Signs MOU with KOMSCO to Drive Joint R&D in Advanced Coating Technologies
AI Medical Service Receives Thai FDA Approval for Gastric Endoscopic Diagnosis Support System Using AI
BeOne Medicines Earns EMA PRIME Status for BGB-16673 in Waldenstrom¡¯s Macroglobulinemia

 

Corpay Cross-Border Using Blockchain Technology to Facilitate Client F...
New AI-Powered Experian Assistant for Model Risk Management Streamline...
LG to Introduce Advanced AI Home Innovations at IFA 2025
Concept Medical Begins MAGICAL-SV IDE Trial with First Patient, Advanc...
The GTDC, CONTEXT and IDC Forge Unprecedented Global Alliance to Deliv...
NielsenIQ acquires Brazilian SaaS company Mtrix to strengthen supply c...
H2SITE Wins EIC Accelerator Grant to Deploy 1 TPD Ammonia Cracker With...

 


°øÁö»çÇ×
´º½ºÁö ÇÑÀÚ Ç¥±â¿¡ ´ë¸¸½Ä À½Â÷ Ç¥±â '纽ÞÙó¢ ´Ï¿ì½ÃÁö' º´±â
º£³×ÇÁ·Ò º£³×ÀÎÅõ Áß¹® Ç¥±â 宝Ò¬ÜØÙÌ 宝Ò¬ì×öõ(ÜÄÒ¬ÜØÙÌ ÜÄ...
¹Ìµð¾î¾Æ¿ì¾î Mediaour ØÚ体ä²们 ØÚô÷ä²Ùú MO ¿¥¿À ØÚä² ØÚä²
¾Ë¸®¿ìºê Alliuv ä¹备: ä¹联êó备, ¾Ë¶ã Althle ä¹÷åìÌ
¾Ë¸®¾Ë Allial Áß¹® Ç¥±â ä¹××尔 ä¹××ì³
´ºÆÛ½ºÆ® New1st Áß¹® Ç¥±â 纽ììãæ(¹øÃ¼ Òïììãæ), N1 纽1
¿£ÄÚ½º¸ð½º : À̾¾ 'EnCosmos : EC' Áß¹® Ç¥±â ì¤ñµ
¾ÆÀ̵ð¾î·Ð Idearon Áß¹® Ç¥±â ì¤îè论 ì¤îèÖå
¹ÙÀÌ¿ÀÀÌ´Ï Bioini Áß¹® Ç¥±â ù±药研 ù±å·æÚ
¿À½ºÇÁ·Ò Ausfrom 奥ÞÙÜØÙÌ, À£ÇÁ·Ò Welfrom 卫ÜØÙÌ
¿¡³ÊÇÁ·Ò Enerfrom 额ÒöÜØÙÌ ¿¡³ÊÀ¯ºñ Eneruv 额Òöêó备
¾ËÇÁ·Ò Alfrom Áß¹® Ç¥±â ä¹尔ÜØÙÌ ä¹ì³ÜØÙÌ

 

ȸ»ç¼Ò°³ | ÀÎÀçä¿ë | ÀÌ¿ë¾à°ü | °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ | û¼Ò³âº¸È£Á¤Ã¥ | Ã¥ÀÓÇѰè¿Í ¹ýÀû°íÁö | À̸ÞÀÏÁÖ¼Ò¹«´Ü¼öÁý°ÅºÎ | °í°´¼¾ÅÍ

±â»çÁ¦º¸ À̸ÞÀÏ news@newsji.com, ÀüÈ­ 050 2222 0002, ÆÑ½º 050 2222 0111, ÁÖ¼Ò : ¼­¿ï ±¸·Î±¸ °¡¸¶»ê·Î 27±æ 60 1-37È£

ÀÎÅͳݴº½º¼­ºñ½º»ç¾÷µî·Ï : ¼­¿ï ÀÚ00447, µî·ÏÀÏÀÚ : 2013.12.23., ´º½º¹è¿­ ¹× û¼Ò³âº¸È£ÀÇ Ã¥ÀÓ : ´ëÇ¥ CEO

Copyright ¨Ï All rights reserved..