Alexa (an Amazon company) used to return the number of entries found in the top n sites. I routinely queried it to get the number of mentions for specific concepts appearing in the top 100 sites.
Alexa (an Amazon company) used to return the number of entries found in the top n sites. I routinely queried it to get the number of mentions for specific concepts appearing in the top 100 sites.
Je vais présenter quelques observations dans le cadre d'une activité organisée par le Réseau Action TI de Québec, mercredi midi.
Une manchette défile devant mes yeux -- le prix du pétrole passe sous le plancher des $40. Je ne sais pas trop pourquoi, mais comme plusieurs, je suppose, c'est un indicateur que je suis de près.
Desjardins Sécurité financière est une composante du Mouvement des caisses Desjardins, le plus important groupe financier coopératif au Canada. Spécialisée en assurance vie, en assurance santé et en épargne-retraite, tant individuelles que collectives, Desjardins Sécurité financière emploie près de 3 900 personnes. Elle gère un actif de plus de 22 milliards de dollars et a des bureaux dans la plupart des grandes villes canadiennes. Conformément à la Charte des droits et libertés de la personne du Québec, Desjardins Sécurité financière souscrit au Programme d'accès à l'égalité en emploi.
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Un ex-étudiant me demande de relayer l'offre suivante (poste chez Desjardins Sécurité financière)
Desjardins Sécurité financière est une composante du Mouvement des caisses Desjardins, le plus important groupe financier coopératif au Canada. Spécialisée en assurance vie, en assurance santé et en épargne-retraite, tant individuelles que collectives, Desjardins Sécurité financière emploie près de 3 900 personnes. Elle gère un actif de plus de 22 milliards de dollars et a des bureaux dans la plupart des grandes villes canadiennes. Conformément à la Charte des droits et libertés de la personne du Québec, Desjardins Sécurité financière souscrit au Programme d'accès à l'égalité en emploi.
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Je participe ce matin au dévoilement des derniers résultats de l'enquête sur l'Indice du Commerce Électronique au Québec, une activité organisée par le CEFRIO.
Pendant le cours de négociation aujourd'hui, vient le moment toujours délicat d'aborder la question des objectifs de négociation. En deux mots, plus on vise haut, plus on obtiendra de bons résultats... ou ce sera la catastrophe.
Yesterday was election night in the Province of Quebec. The Liberals won a majority as expected. But the Parti Québecois did better than expected according to polls and, more so, by the media. The ADQ did worse than the media share would have suggested, but slightly better than opinion polls.
The table below presents the shares of vote, media (based on news search engines) and opinion (according to the latest polls conducted by Leger Marketing and CROP). Results are scaled such that the sum is always 100% (i.e. ignoring non response and other parties). The Sum of Absolute Deviations (SAD) shows how various indicators deviated from the actual vote. For those unfamiliar with Quebec's political landscape, Charest is leader of the Liberals, Marois of the Parti Québécois and Dumont of the Alliance Démocratique du Québec.
In this electoral race, media shares have been relatively poor indicators of public opinion and voting behavior. This result contrasts with what we saw in the recent Canadian and American races, where the media turned out to be surprisingly accurate indicators of voting behavior.
Some might say that the Quebec media were more fair, giving relatively equal shares to the three leaders. Others might say that the media were biased, devoting too much attention to a leader who turned out to be unpopular. Or maybe it is a sign that the media were simply out of touch with reality.
As far as I am concerned, I would simply wish to add the following two comments. First, the media share as reported here (i.e. proportion of mentions on December the 7th) were not an aberration. In fact, Dumont's share was generally higher than Marois' in November. Second, these results may be interpreted in many ways. We could conclude that web-based visibility indicators, including media, are no substitute for opinion polls. On the other hand, we could note that media shares turned out to be the best predictor of the vote share of the leader and that time series were able to capture an important shift in momentum.
It is certainly unreasonable to expect media share to be accurate reflections of social trends. It is, however, probably wise to study such indicators to gain insight in their evolution.
A radar chart for December 7th (results gathered on the 8th between 03:00 and 04:15) is available here
Just a quick post to introduce a research note I am just about to file. It presents web-based visibility metrics harvested during the US presidential race (vote held on November 4th 2008) and the Canadian federal election (vote held on October 14th 2008).
The most striking finding is the almost super-natural precision of visibility metrics culled from the news search engines. Visibility shares on the eve of the vote were off by 0.2% and 0.3% in the Canadian and US election respectively.
Table 1: Summary of recent results
Below are radar charts of various metrics computed between 03:00 and 05:00 on the day of the election, where day-to-day indicators (essentially news and blogs) refer to one day earlier (i.e. on the morning of November 4th, news search engines were queried on content published/indexed on November 3rd).
Further below are time series showing how visibility has evolved during the races. It should be noted that indicators other than news are mere averages of a collection of ratios computed for each relevant search engine (see the list at the bottom of this post). For the news index, the metric is the arithmetic average of the returns reported by Factiva, Google News and Yahoo! News for the Canadian race. In addition, NorthernLight and Bloglines were used to compute an average score for the US race. These rules were established based on a reliability assessment made on independent data (no fishing here).
I plan to recalibrate each index before the end of the year, and publish revised timeseries.
As a final note, the last chart traces the news visibility index published by Factiva in 2004. This is perhaps what is most important -- just a few years ago, media where both off and slow to react. My inclination is to think that blogging has changed the nature of news reporting, although we could also argue that indexing and searching have improved.
Fulltext is here.
Figure 1: Visibility shares, Canada, October 13th
I've been quite busy traveling, crunching numbers and writing. I am late in finishing a post on what eats my days, of late, visibility indicators. Probably another 2 weeks before I can find the time. So let me apologize for venting some frustration. On oil prices. And on the procession of grave looking analysts sharing their projections on how low the barrel will go.
Am I the only one cringing whenever a commentator shakes his head in disbelief over the falling price of oil? Has anyone noticed that prices are falling to the level at which they were 2-3 years ago? Has anyone wondered how emerging economies could sustain the recent prices at which oil was traded?
I am not saying that I understand or can forecast better than anybody else. But I am profoundly irritated by those who do (say that they know).
So, for my education, I searched for historical data. Thanks to the Energy information administration, here it is, all the way back to 1859. This is not a typo. More than a century of prices. And here is how it looks like:
Series like that are never easy to understand, because exponential growth obliterates older data points. Better to take the logs. In case you have no idea what a logarithm is, let's just say that it removes the main curvature in a series. Easier if you look at the chart below (starting in 1900):
Same data as the first chart, except that this time, this is expressed as the power of 10 (well, the log base ten actually). So when you read 1, it means a barrel at $10. When you read zero, it means a price of $1. When you read 2, a price of $100. Well, you probably get the idea.
Magically, the chart starts to be intelligible. It is more or less a straight line, moving around in irregular cycles.
So?
Well. For one, when the price hit 147, (2.16 on a log(10)), that was newsworthy. A value of 2.17 is off the chart, especially if one notices that 2007 had not jumped much higher than 2006.
Two, it "looks as if" when prices fall significantly, they take a long while before climbing back to the previous level.
But then, obviously, all depends on your understanding of the data. I read tonight than some major broker had forecast a rebound to $100 (2 on the log scale) within a year. That could make sense if you use only recent history (i.e. starting in year 1998 onwards) to extrapolate. You would say that 2007 was a slow year, 2008 a spike, and that 2009 will return on the "trend line".
On the other hand, there were not that many years of free-falling oil prices during the past century. I see three bad years following the peak of 1920, and 1997. I also see two major peaks (1920 and 1982) after which the world economy has adapted.
So my personal inclination would be to bet on a rather long contraction. With repercussions everywhere.
But what worries me the most is to read predictions such as the one I mentioned above, out of the blue, and with this amazing quote : ``We're in a global recession now, and you've got to be close to the bottom[...]" reported by Bloomberg, as carried by CNBC, as made by Boone Pickens...
Last time I looked, the world economy was still growing. We might certainly be entering a phase of contraction of the global economy, but we are not there yet. Not at all.
For reference, the latest IMF forecast was a global growth of 2.2% in 2009. And it was made on November the 6th.
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