Characterizing Brand Advertising Strategies on Twitter Shana - - PowerPoint PPT Presentation

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Aug 22, 2022 27 likes •118 views

Characterizing Brand Advertising Strategies on Twitter Shana Dacres, Hamed Haddadi, Matthew Purver Queen Mary University of London http:/ /www.eecs.qmul.ac.uk/~hamed/ @realhamed July 2013, MSN-NGN Friday, 12 July 13 Advertising on social

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Characterizing Brand Advertising Strategies on Twitter

Shana Dacres, Hamed Haddadi, Matthew Purver

Queen Mary University of London

http:/ /www.eecs.qmul.ac.uk/~hamed/ @realhamed July 2013, MSN-NGN

Friday, 12 July 13

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Advertising on social media Social media have changed brand advertising scene. The volume of content and user interaction is unknown But, what do people actually say abotu a brand? Twitter has two advertising modes: Promoted tweets, and Promoted Trends

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Data collection Between December 17th 2012 to January 7th 2013 180k tweets from ~120k users directly engaged with the brands and hashtags. Spam removed (8k) .. BUT, TOPIC RELEVANCE?

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Topic classification

Used a variety of Naive Bayes, J48 and other simple ML algorithms After, 80,000 tweets from ~50,000 different Twitter users We restricted the feature space to be based on the most common 100 words. Ten-fold cross-validation in order to simulate performance on unseen data. Best performance (78% overall accuracy) was

btained using NB only bag-of-words text features, with stop-

words removed and a TF-IDF weighting, after manual filtering.

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Sentiment analysis

What are the sentiments in tweets? Used the Chatterbox Sentiment Analysis API (http:/ /mashape.com/ chatterbox-co/sentiment- analysis- for- social- media Based on statistical machine learning over large, distantly labelled datasets (to avoid large manual labelling) Chatterbox report 83.4% accuracy in an independent study ( http:/ /content.chatterbox.co/Sentiment\~Analysis\%20Case\ %20Study\%20-\%20Chatterbox\ %20and\%20IDL.pdf ) Also tried SnetiStrength, however that didn’ t perform as well on slang and hashtags (Chatterbox is Twitter-optimized!)

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Sentiment analysis Example

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Advertising is effective

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Observations

Promoted trends lead to higher engagement volumes than promoted tweets. Although promoted tweets obtain less engagement than promoted trends, their engagement forms are often more brand inclusive (more direct mentions) Although the volume of tweets is highest in promoted trends, they do not lead to the same level of positive sentiment that promoted tweets do

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