Twitter - Professional Tool
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Measuring the Return on Relationships

Measuring the Return on Relationships | Twitter - Professional Tool |

Ultimately, the success of fundraising on social media highlights what we have always known: to fundraise effectively (in the virtual or the brick-and-mortar world), you need relationships. Be smart about building them, cultivating them, and maximizing them.

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Twitter - Professional Tool
Using twitter as a professional tool
Curated by Paulo Simões
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100 Must Follow on Twitter – 2014

The ultimate list of Business, Leadership and Tech Twitter accounts to follow in 2014.
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You followed my bot! Transforming robots into influential users in Twitter




Systems like Klout and Twitalyzer were developed as an attempt to measure the influence of users within social networks. Although the algorithms used by these systems are not public known, they have been widely used to rank users according to their influence, especially in the Twitter social network. As media companies might base their viral marketing campaigns on influence scores, users might attempt to boost their influence scores with simple mechanisms like following unknown users to be followed back or even interacting with those who reciprocate these actions. In this paper, we investigate if widely used influence scores are vulnerable and easy to manipulate. Our approach consists of developing Twitter bot accounts able to interact with real users to verify strategies that can increase their influence scores according to different systems. Our results show that it is possible to become influential using very simple strategies, suggesting that these systems should review their influence score algorithms to avoid accounting with automatic activity.

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Twitter for Researchers

Part of the Becoming a Networked Researcher workshops I run at the University of York.
Carmenne Kalyaniwala's curator insight, June 22, 2013 7:01 AM

An interesting presentation on using Twitter as a 'networked researcher'. 

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Twitter Now Reducing Some Tweets To 117 Characters

Twitter Now Reducing Some Tweets To 117 Characters | Twitter - Professional Tool |
Starting Wednesday, Twitter is reducing any tweet sent with a URL to 118 characters, or 117 for https links.
Rescooped by Paulo Simões from Content Curation World!

Filter and Organize Your Twitter Universe with TweetDig



Via Robin Good
gigicogo's curator insight, January 29, 2013 9:54 AM

pulizia o curation?  #daprovare

Miquel Loriz's curator insight, January 30, 2013 5:57 AM

Explorándolo. Parece muy interesante y los filtros potentes y útiles. Por ahora la versión gratuira

Robin Good's comment, February 6, 2013 11:36 AM
Yes Martin. I am not in love with the scrolling up to discover new things but maybe I'll get used to it. What do you say on that one?
Rescooped by Paulo Simões from Tecnologias educativas (para aprender... para formar)!

R U Ready 4TwitterII

From connecting via Twitter as an educator to Twitter in the classroom and connecting your class globally.

Via Teresa Pombo
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Identifying Topical Twitter Communities via User List Aggregation



A particular challenge in the area of social media analysis is how to nd communities within a larger network of social interactions.
Here a community may be a group of microblogging users who post content on a coherent topic, or who are associated with a speci c event or news story. Twitter provides the ability to curate users into lists, corresponding to meaningful topics or themes. Here we describe an approach for crowdsourcing the list building e orts of many di erent Twitter users, in order to identify topical communities. This approach involves the use of ensemble community nding to produce stable groupings of user lists, and by extension, individual Twitter users. We examine this approach in the context of a case study surrounding the detection of communities on Twitter relating to the London 2012 Olympics."

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Classroom Community, Pedagogical Effectiveness, and Learning Outcomes Associated with Twitter Use in Undergraduate Marketing Courses

A study made by Theresa B. Clarke and C. Leigh Nelson


Purpose of the Study.

This study explores various outcomes associated with the incorporation of Twitter in the marketing classroom. To determine if Twitter use is a beneficial pursuit for marketing educators, we investigated classroom community, pedagogical effectiveness, and learning outcomes based on Twitter use and non-use
within a required marketing course.

Method/Design and Sample.

For comparative purposes, a quasi-experimental design was employed across two semesters of the same undergraduate integrated marketing communications course. One semester (48 students) employed heavy Twitter use by both students and the instructor; the other semester had no Twitter use (36 students).



Independent sample t-tests (p < .05) were conducted to test the hypotheses. The course using Twitter had a significantly higher sense of classroom community and perception of pedagogical effectiveness. While there was no difference in perceived learning across the two groups, the group using Twitter outperformed the
non-Twitter group on actual learning.


Value to Marketing Educators.

This study extends the small, but growing, body of knowledge on the use of Twitter in the higher education marketing classroom. Findings and recommendations add value to marketing educators by helping them make more informed decisions regarding whether or not to use Twitter in their courses.

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Aggregating Content and Network Information to Curate Twitter User Lists


Twitter introduced user lists in late 2009, allowing users to be grouped according to meaningful topics or themes. Lists have since been adopted by media outlets as a means of organising content around news stories. Thus the curation of these lists is important - they should contain the key information gatekeepers and present a balanced perspective on a story. Here we address this list curation process from a
recommender systems perspective. We propose a variety of criteria for generating user list recommendations, based on content analysis, network analysis, and the "crowdsourcing" of existing user lists. We demonstrate that these types of criteria are often only successful for datasets with certain characteristics. To resolve this issue, we propose the aggregation of these dif ferent "views" of a news story on Twitter to produce more accurate user recommendations to support the curation process.

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How to choose a hashtag | Twitter Blogs

How to choose a hashtag | Twitter Blogs | Twitter - Professional Tool |
The hashtag (#) has become one of the most valuable assets in any modern marketing campaign. The brands that create the most effective ones and employ them well reap the benefits on Twitter. Those ......
notliebags's comment, August 24, 2013 6:11 PM
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Snowing, freezing … tweeting? Organizational Twitter use during crisis

Snowing, freezing … tweeting? Organizational Twitter use during crisis | Twitter - Professional Tool |

This paper presents a study on Twitter use by SJ, the national Swedish train operator. The aim of the study is to investigate how SJ (known on Twitter under the handle @SJ_AB) made use of the platform at hand to communicate with customers during the tumultuous Christmas season of 2010. The paper features an analysis of an extensive data set containing 3,394 tweets tagged as relevant and archived during the winter of 2010/11. Findings show that while SJ are indeed utilizing Twitter to communicate with their customers, the discerned communicative patterns are mostly pertaining to what is described as an “office hour”–approach — making use of the Twitter platform in a way that largely conforms to established routines of organizational communication.

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Twitter Mini Masterclass

An introduction to Twitter which looks at best practice of using hashtags, search tips, analytics as well as using lists and dashboards
EASI-ie's curator insight, May 17, 2013 2:41 AM

Un bon résumé de ce qu'il faut savoir de Twitter.

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The Utility of Social and Topical Factors in Anticipating Repliers in Twitter Conversations



Anticipating repliers in online conversations is a fundamental challenge for computer mediated communication systems which aim to make textual, audio and/or video communication as natural as face to face communication. The massive amounts of data that social media generates has facilitated the study of online conversations on a scale unimaginable a few years ago. In this work we use data from Twitter to explore the predictability of repliers, and investigate the factors which influence who will reply to a message. Our results suggest that social factors, which describe the strength of relations between users, are more useful than topical factors. This indicates that Twitter users’ reply behavior is more impacted by social relations than by topics. Finally, we show that a binary classification model, which differentiates between users who will and users who will not reply to a certain message, may achieve an F1-score of 0:74 when using social features.

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Rescooped by Paulo Simões from "Social Media"!

Twitter Search: 4 Ways To Find Results That Matter To You

Twitter Search: 4 Ways To Find Results That Matter To You | Twitter - Professional Tool |
Twitter search has its limits. For one, you can only search back so far, with Twitter making public search results available only for a limited period of time.

Via Jose H. Flores
Jose H. Flores's curator insight, March 13, 2013 6:10 PM

Very Interesting for Twitter lovers

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An Introduction to Twitter in Higher Education

An Introduction toTwitter in HigherEducation
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How To Verify Your Twitter News Sources : a Guide for Journalists

How To Verify Your Twitter News Sources : a Guide for Journalists | Twitter - Professional Tool |
Journalists should treat information we gather on social media the same way we treat information gathered any other way, or an assurance from Mom that she loves you: Check it out. My #twutorial ser...

Via Robin Good
Robin Good's curator insight, January 21, 2013 10:45 AM

If you are using Twitter to any kind of serious reporting, research or journalism work, you should read this guide by Steve Buttry.

From the intro: "Given the errors some journalists made in reporting on the Sandy Hook massacre and in the original reporting on Manti Te’o's fake girlfriend, this feels like a good time to stress accuracy and verification.

The most simple and important advice I can give is that Twitter is like any other information source — documents, anonymous tips, news releases, press conferences, interviews, databases — it can provide valuable information or deliberate lies or innocent errors. Your job is to verify the information that looks useful. As with all the other information you gather, you can verify lots of different ways, and no single technique works for everything.

Some of the tips I provide here will be specific to Twitter or to social media generally. Some will be general verification tips applied to Twitter."

Great guide. Resourceful. 8/10

Full guide:

FrancoisMagnan's curator insight, January 21, 2013 12:10 PM

En anglais, une liste de conseils pour être sûr d'une source Twitter destinée au journalistes. Ca peut servir aussi pour certaines veilles spécialisées sur les réseaux sociaux.

Ellen Robinette's curator insight, January 24, 2013 11:36 AM

Good concepts/examples to use with students when discussing the importance of verifying the quality of sources.

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5 Great Ways for Teachers to Collaborate on Twitter

5 Great Ways for Teachers to Collaborate on Twitter | Twitter - Professional Tool |
Five great ideas for busy teachers to connect and share ideas, tools and resources with others via Twitter.

Via Cornélia Castro
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Twitter enables sharing tweets by email from the site in an effort to organically increase awareness

Twitter enables sharing tweets by email from the site in an effort to organically increase awareness | Twitter - Professional Tool |
Twitter has today added the ability to share tweets by email directly from the website. Clicking on the ‘More’ icon next to the normal Twitter controls will give you access to a pop-up email form.
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Twitter follow links reveal bicameral landscape of newspapers



Traditional media outlets are known to report political news in a biased way, and it matters because it could affect the political beliefs of the audience and can ultimately alter voting behavior. Hence tracking bias in everyday news and building a platform where people can receive balanced news information is important. In this work, we proposed a model that maps the news media outlets along an one dimensional dichotomous political spectrum using the co-subscriptions relationships
inferred by Twitter links. By analyzing 7 million Twitter links, we have shown that the political dichotomy naturally arises on Twitter when we only consider direct media
subscription. Furthermore, we demonstrated a real-time Twitter-based application that visualizes an ideological map of various media sources.

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Actualization of a Course Library through Influential Twitter Knowledge

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