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[Addition to Fashion Trend Subheading from Fashion Article]
Fashion trends are created by color prospects proposed by fashion forecasters which are then put on the market two years after selection.[1] If being sold on the market in less than two years, forecasters look for trends that will represent current societal interests, cultural backgrounds, and the values and ideas of the consumer. [2] As fashion trends become increasingly more popular, people want something new to replace it, meaning trends are often quick to go. [3] Inspiration for trends are drawn upon by fashion forecasters, who look to art, music, pop culture, media, and technology for ideas on upcoming trends. [4]
Fashion in Social Media
Social media provides a platform where a universal audience can view and engage with fashion from all over the world. This has given rise to social media fashion influencers, who are individuals with a large enough following and online presence to deliver fashion content effectively yet aesthetically through posts of themselves wearing the merchandise. [5] Their large audience can quickly turn a fashion piece into a fashion trend, making social media fashion influencers a popular choice for fashion brands and companies to promote and sell their product through. Instagram, a popular photo-sharing app, was deemed the most powerful domain for fashion insight and influencing others to hop on fashion trends. [6] These platforms allow consumers to follow their fashion brand and it provides the brand an opportunity to create an identity of it's own for consumers to know and follow.
References edit
- ^ Furukawa, Takao; Miura, Chikako; Mori, Kaoru; Uchida, Sou; Hasegawa, Makoto (2019-03-22). "Visualisation for analysing evolutionary dynamics of fashion trends". International Journal of Fashion Design, Technology and Education. 12 (2): 247–259. doi:10.1080/17543266.2019.1587789. ISSN 1754-3266.
- ^ Furukawa, Takao; Miura, Chikako; Mori, Kaoru; Uchida, Sou; Hasegawa, Makoto (2019-03-22). "Visualisation for analysing evolutionary dynamics of fashion trends". International Journal of Fashion Design, Technology and Education. 12 (2): 247–259. doi:10.1080/17543266.2019.1587789. ISSN 1754-3266.
- ^ Zhao, Li; Li, Muzhen; Sun, Peng (2020-12-28). "Neo-Fashion: A Data-Driven Fashion Trend Forecasting System using Machine Learning through Catwalk Analysis". Pivoting for the Pandemic. Iowa State University Digital Press. doi:10.31274/itaa.12062.
- ^ Zhao, Li; Li, Muzhen; Sun, Peng (2020-12-28). "Neo-Fashion: A Data-Driven Fashion Trend Forecasting System using Machine Learning through Catwalk Analysis". Pivoting for the Pandemic. Iowa State University Digital Press. doi:10.31274/itaa.12062.
- ^ Quelhas-Brito, Pedro; Brandão, Amélia; Gadekar, Mahesh; Castelo‐Branco, Sofia (2020-05-06). "Diffusing fashion information by social media fashion influencers: understanding antecedents and consequences". Journal of Fashion Marketing and Management: An International Journal. 24 (2): 137–152. doi:10.1108/jfmm-09-2019-0214. ISSN 1361-2026.
- ^ Chu, Shu-Chuan; Seock, Yoo-Kyoung (2020-05-03). "The Power of Social Media in Fashion Advertising". Journal of Interactive Advertising. 20 (2): 93–94. doi:10.1080/15252019.2020.1802955. ISSN 1525-2019.
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