We are pleased to announce that for the second year in a row CIC's CEO Sam Flemming's blog China IWOM Blog was awarded the Danwei "Model Worker" blog award. CIC was recognized in the "Advertising, Media and PR" category alongside William Moss's Imagethief and Kaiser Kuo's
Ogilvy Digital Watch. Danwei is a well respected blog that covers both on and offline media in China on topics related to Chinese media, advertising and urban life. In addition, Danwei periodically releases short documentaries at
Danwei TV. For the full list of Danwei's Chinese "Model Worker" blog awards please see here.

CIC CEO SAM的博客China IWOM Blog继2007年第一次获得由Danwei博客所颁发的“模范博客奖“后，今年再次获得此殊荣。CIC此次获得的组别是“广告，媒体及公关”，同时获奖的还有 William Moss的 Imagethief 和 Kaiser Kuo的
Ogilvy Digital Watch。 DANWEI 作为一个关注于研究中国线上及线下媒体热点的优秀博客，其研究内容包括媒体，广告及都市生活。此外，Danwei还定期在Danwei TV 上发布焦点报告。 欲进一步了解Danwei 中国博客模范奖的获奖名单，请点击这里。

IWOM Topics

Pre-Olympic Buzz Analysis of Sponsors: Keyword
Association Mapping of Chinese IWOM (CEO blog August 11th, 2008)

KAM is CIC's latest tool for analyzing online discussions around specific topics on BBS. Not only does KAM allow CIC to look at the online relationship between brands and attributes and a specific topic (i.e. Olympics), but it also allows CIC to see where brands sit in relation to one another around this topic. It does this by using text-mining algorithms to derive the most important language, issues and themes of our topic from online conversations and maps the results.

The topic focus could be brands, products, campaigns, or other specific issues identified by the client (in this case we chose the Olympics). With this advanced text mining technology, CIC thinks such visualization makes it more convenient for brands to effectively understand consumer's feelings towards their brand, competitors, products, campaigns, service, spokespersons, etc. The blog article introduces real case studies to further explain this method of analysis. *To read the full article, please see here.

奥运网络讨论分析—关键字关联图 (KAM) 的应用(seeisee blog August 11th , 2008)

关键字关联图分析（Keyword Association Mapping）是CIC最新的用于研究消费者在网上讨论某一特定主题时是如何谈论与其相关要素的分析模型。这里的主题可以是品牌，产品，营销活动或某一特定事件等。该模型基于先进的文本挖掘技术，对于网络讨论信息进行深入的文本挖掘和分析。KAM可以直观地展现各种品牌，品牌属性，产品，营销活动等要素之间的相互关系，从而使品牌更方便有效地了解消费者对于他们的产品，活动，代言人，服务，竞争对手等诸多要素是如何进行讨论的，帮助品牌及早发现可能的营销机会或危机。 *更多内容, 请点击这里阅读全文。

Marketers screw up net language, look foolish (IWOM Watch July 1-15, 2008) (China IWOM blog August 6th , 2008)

CIC has written many times about the power of net language as a symbol of net culture and as a way to connect to netizens (see here for an example). The fact that there is a unique net language underscores the power of online community. In CIC latest issue of IWOM Watch, CIC sees examples of well intentioned marketers who use net language in their communications, but end up hurting themselves by misusing it. The case studies show that it is important to really understand online culture so marketers can truly and meaningfully connect with netizens by creatively recognizing their culture. *To read the full article, please see here .

网民对于品牌活动滥用网络语言表示反感 (IWOM Watch July 1-15, 2008) ( seeisee blog August 6h , 2008)

CIC曾经在以前的网络口碑网论观察中提到过，网络语言作为网络文化的标志以及与网民沟通的方式，具有强大的影响力（点击这里察看案例）。同时，特殊的网络语言也体现着网络社区的巨大影响力。在本期内容中，我们可以以用心良苦的品牌如何由于在沟通中误用网络语言而弄巧成拙为例，进一步证明对于品牌来说，只有真正地了解网络文化，才能更加真实有效地和网民沟通，深入了解网民的文化是至关重要的。 *更多内容, 请点击这里阅读全文。

More Topics from Seeisee Blog (Chinese) 更多主题：

For more IWOM topics,click here for Chinese or here for English.

*更多网络口碑主题，请点击这里阅读中文,点击这里阅读英文